Publications
[2024][2023][2022][2021][2020][2019][2018][2017][2016][2015][2014][2013][2012][2011][2010][2009][2008][2007][2006][2005][2004][2002]
Latest arXiv Manuscripts
Xiaoliang Dai*, Ji Hou*, Chih-Yao Ma*, Sam Tsai*, Jialiang Wang*, Rui Wang*, Peizhao Zhang*, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly^, Vignesh Ramanathan^, Zijian He^, Peter Vajda^, Devi Parikh^
* equal contribution, alphabetical order, ^ equal last authors
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
arXiv:2309.15807, 2023
AI + Creativity
2024 [back to top]
Uriel Singer*, Amit Zohar*, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman
* equal contribution
Video Editing via Factorized Diffusion Distillation (a.k.a, Emu Video Edit)
European Conference on Computer Vision (ECCV), 2024 (Oral)
AI + Creativity
Rohit Girdhar*^, Mannat Singh*^, Andrew Brown*, Quentin Duval*, Samaneh Azadi*, Sai Saketh Rambhatla, Akbar Shah, Xi Yin, Devi Parikh, Ishan Misra
* equal first authors ^ equal technical contributions
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
European Conference on Computer Vision (ECCV), 2024
AI + Creativity
Shelly Sheynin*, Adam Polyak*, Uriel Singer*, Yuval Kirstain*, Amit Zohar*, Oron Ashual, Devi Parikh, Yaniv Taigman
* equal contribution
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight)
AI + Creativity
2023 [back to top]
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
International Conference on Computer Vision (ICCV), 2023
AI + Creativity
Samaneh Azadi*, Thomas Hayes*, Akbar Shah, Guan Pang, Devi Parikh, Sonal Gupta
* equal contribution
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
arXiv:2304.07410, 2023
AI + Creativity
Uriel Singer*, Shelly Sheynin*, Adam Polyak*, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
* equal contribution
Text-To-4D Dynamic Scene Generation
International Conference on Machine Learning (ICML), 2023
AI + Creativity
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
SpaText: Spatio-Textual Representation for Controllable Image Generation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
AI + Creativity
Uriel Singer*, Adam Polyak*, Thomas Hayes*, Xi Yin*, Jie An, Songyang Zhang, Qiyuan (Isabelle) Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh*, Sonal Gupta*, Yaniv Taigman*
* Core contributors
Make-A-Video: Text-to-Video Generation without Text-Video Data
International Conference on Learning Representations (ICLR), 2023
AI + Creativity
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez1, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi
AudioGen: Textually Guided Audio Generation
International Conference on Learning Representations (ICLR), 2023
AI + Creativity
2022 [back to top]
Thomas Hayes*, Songyang Zhang*, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Qiyuan Hu, Devi Parikh
* equal contribution
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
European Conference on Computer Vision (ECCV), 2022
AI + Creativity
Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
European Conference on Computer Vision (ECCV), 2022
[Illustrated story: The Little Red Boat][Illustrated story: New Adventures] [Blog post]
AI + Creativity
Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
European Conference on Computer Vision (ECCV), 2022
AI + Creativity
Ramya Srinivasan, Devi Parikh
Building Bridges: Generative Artworks to Explore AI Ethics
Ethical Considerations in Creative applications of Computer Vision (EC3V) Workshop at CVPR, 2022
AI + Creativity
Samyak Datta, Sameer Dharur, Vincent Cartillier, Ruta Desai, Dhruv Batra, Devi Parikh
Episodic Memory Question Answering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gokhan Tür, Devi Parikh, Dilek Hakkani-Tür
VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2022
2021 [back to top]
Safinah Ali, Devi Parikh
Telling Creative Stories Using Generative Visual Aids
Machine Learning for Creativity and Design Workshop at Neural Information Processing Systems (NeuRIPS), 2021
AI + Creativity
Gunjan Aggarwal, Devi Parikh
Dance2Music: Automatic Dance-driven Music Generation
Machine Learning for Creativity and Design Workshop at Neural Information Processing Systems (NeuRIPS), 2021
AI + Creativity
Sasha Sheng*, Amanpreet Singh*, Vedanuj Goswami, Jose Alberto Lopez Magana, Wojciech Galuba, Devi Parikh, Douwe Kiela
* equal contribution
Human-Adversarial Visual Question Answering
Neural Information Processing Systems (NeurIPS), 2021
Songwei Ge, Devi Parikh
Visual Conceptual Blending with Large-scale Language and Vision Models
International Conference on Computational Creativity (ICCC), 2021 (Oral)
AI + Creativity
Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal
Contrast and Classify: Alternate Training for Robust VQA
International Conference on Computer Vision (ICCV), 2021
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
ICLR workshop on Deep Learning for Simulation, 2021 (Best Paper Award)
Lowik Chanussot*, Abhishek Das*, Siddharth Goyal*, Thibaut Lavril*, Muhammed Shuaibi*, Morgane Riviére, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi
* equal contribution
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
ACS Catalysis, 2021
C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviére, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary Ulissi
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
arXiv:2010.09435, 2020
Sameer Dharur, Purva Tendulkar, Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju
SOrT-ing in VQA : Contrastive Gradient Learning for Improved Consistency
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
VX2TEXT: End-to-End Learning of Video-Based Text GenerationFrom Multimodal Inputs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh
International Conference on Learning Representations (ICLR), 2021
[demo][code and datasets][project page]
AI + Creativity
2020 [back to top]
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Conference on Robot Learning (CoRL), 2020
Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee
Sim-to-Real Transfer for Vision-and-Language Navigation
Conference on Robot Learning (CoRL), 2020
Michael Cogswell*, Jiasen Lu*, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
* equal contribution
Neural Information Processing Systems (NeurIPS), 2020
Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James Rehg, Stefan Lee, Peter Anderson
Where Are You? Localization from Embodied Dialog
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Purva Tendulkar, Abhishek Das, Ani Kembhavi, Devi Parikh
Feel The Music: Automatically Generating A Dance For An Input Song
International Conference on Computational Creativity (ICCC), 2020 (Oral)
[dances][code][demo][Tech@Facebook article]
AI + Creativity
Devi Parikh, C. Lawrence Zitnick
Exploring Crowd Co-creation Scenarios for Sketches
International Conference on Computational Creativity (ICCC), 2020
AI + Creativity
Gunjan Aggarwal, Devi Parikh
Neuro-Symbolic Generative Art: A Preliminary Study
International Conference on Computational Creativity (ICCC), 2020
AI + Creativity
X. Alice Li, Devi Parikh
Lemotif: An Affective Visual Journal Using Deep Neural Networks
International Conference on Computational Creativity (ICCC), 2020 (Oral)
AI + Creativity
Devi Parikh
Predicting A Creator’s Preferences In, and From, Interactive Generative Art
International Conference on Computational Creativity (ICCC), 2020
AI + Creativity
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
European Conference on Computer Vision (ECCV), 2020 (Spotlight)
Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
European Conference on Computer Vision (ECCV), 2020
[code]
Yash Kant, Dhruv Batra, Peter Anderson, Alex Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
Spatially Aware Multimodal Transformers for TextVQA
European Conference on Computer Vision (ECCV), 2020
Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation
European Conference on Computer Vision (ECCV), 2020
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
Embodied Multimodal Multitask Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2020
[webpage]
Amanpreet Singh*, Vedanuj Goswami*, Devi Parikh
* equal contribution
Are We Pretraining It Right? Digging Deeper Into Visio-linguistic Pretraining
arXiv:2004.08744, 2020
Jiasen Lu*, Vedanuj Goswami*, Marcus Rohrbach, Devi Parikh, Stefan Lee
* equal contribution
12-in-1: Multi-Task Vision and Language Representation Learning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[demo]
Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra
Decentralized Distributed PPO: Solving PointGoal Navigation
International Conference on Learning Representations (ICLR), 2020
2019 [back to top]
Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Neural Information Processing Systems (NeurIPS), 2019
Remi Cadene, Corentin Dancette, Hedi Ben-younes, Matthieu Cord, Devi Parikh
RUBi: Reducing Unimodal Biases in Visual Question Answering
Neural Information Processing Systems (NeurIPS), 2019
Peter Anderson*, Ayush Shrivastava*, Devi Parikh, Dhruv Batra, Stefan Lee
* equal contribution
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Neural Information Processing Systems (NeurIPS), 2019
Jianwei Yang, Zhile Ren, Hongyuan Zhu, Ji Lin, Chuang Gan, Devi Parikh
Cross-Channel Communication Networks
Neural Information Processing Systems (NeurIPS), 2019
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
Improving Generative Visual Dialog by Answering Diverse Questions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
Emergence of Compositional Language with Deep Generational Transmission
arXiv:1904.09067, 2019
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
Habitat: A Platform for Embodied AI Research
International Conference on Computer Vision (ICCV), 2019 (Best Paper Nominee)
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
International Conference on Computer Vision (ICCV), 2019
Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
Fashion++: Minimal Edits for Outfit Improvement
International Conference on Computer Vision (ICCV), 2019
Jianwei Yang*, Zhile Ren*, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batra
* equal contribution
International Conference on Computer Vision (ICCV), 2019
Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran
Align2Ground: Weakly Supervised Phrase Grounding Guided byImage-Caption Alignment
International Conference on Computer Vision (ICCV), 2019
Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
International Conference on Computer Vision (ICCV), 2019
Harsh Agrawal*, Karan Desai*, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson
* equal contribution
nocaps: novel object captioning at scale
International Conference on Computer Vision (ICCV), 2019
Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh
Trick or TReAT: Thematic Reinforcement for Artistic Typography
International Conference on Computational Creativity (ICCC), 2019 (Oral)
[demo]
AI + Creativity
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Yuandong Tian, Dhruv Batra, Devi Parikh
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
[dataset]
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
International Journal of Computer Vision (IJCV), 2019
Yash Goyal, Ziyan Wu, Jan Ernst, Dhruv Batra, Devi Parikh, Stefan Lee
Counterfactual Visual Explanations
International Conference on Machine Learning (ICML), 2019
Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau
TarMAC: Targeted Multi-Agent Communication
International Conference on Machine Learning (ICML), 2019
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering
International Conference on Machine Learning (ICML), 2019
Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh
Cycle-Consistency for Robust Visual Question Answering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
[webpage]
Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
Towards VQA Models That Can Read
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Erik Wijmans*, Samyak Datta*, Oleksandr Maksymets*, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
* equal contribution
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Stefan Lee, Peter Anderson, Irfan Essa, Devi Parikh, Dhruv Batra, Anoop Cherian, Tim K. Marks, Chiori Hori
Audio-Visual Scene-Aware Dialog
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra , Marcus Rohrbach
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future
International Conference on Learning Representations (ICLR), 2019
Chiori Hori, Huda Alamri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh
End-to-end Audio Visual Scene-Aware Dialog Using Multimodal Attention-based Video Features
International Conference on Acoustics, Speech, Signal Processing (ICASSP), 2019
2018 [back to top]
Yu Jiang*, Vivek Natarajan*, Xinlei Chen*, Marcus Rohrbach, Dhruv Batra, Devi Parikh
* equal contribution
Pythia v0.1: The Winning Entry to the VQA Challenge 2018
arXiv:1807.09956, 2018
Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, Douwe Kiela
Talk the Walk: Navigating New York City through Grounded Dialogue
arXiv:1807.03367, 2018
[code]
Jianwei Yang*, Jiasen Lu*, Stefan Lee, Dhruv Batra, Devi Parikh
* equal contribution
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Conference on Robot Learning (CoRL), 2018 (Oral)
Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
Neural Modular Control for Embodied Question Answering
Conference on Robot Learning (CoRL), 2018 (Spotlight)
Yash Goyal, Tejas Khot, Aishwarya Agrawal, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
International Journal of Computer Vision (IJCV), 2018
Arjun Chandrasekaran*, Viraj Prabhu*, Deshraj Yadav*, Prithvijit Chattopadhyay*, Devi Parikh
* equal contribution
Do Explanations Make VQA Models More Predictable To A Human?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
Visual Coreference Resolution in Visual Dialog using Neural Module Networks
European Conference on Computer Vision (ECCV), 2018
Ramprasaath R. Selvaraju*, Prithvijit Chattopadhyay*, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee
* equal contribution
Choose Your Neuron: Incorporating Domain Knowledge through Neuron Importance
European Conference on Computer Vision (ECCV), 2018
[code]
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
Graph R-CNN for Scene Graph Generation
European Conference on Computer Vision (ECCV), 2018
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
Arjun Chandrasekaran, Devi Parikh, Mohit Bansal
Punny Captions: Witty Wordplay in Image Descriptions
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral)
Jiasen Lu*, Jianwei Yang*, Dhruv Batra, Devi Parikh
* equal contribution
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight)
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Ani Kembhavi
Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2017 [back to top]
Abhishek Das*, Harsh Agrawal*, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
* equal contribution
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Computer Vision and Image Understanding (CVIU), 2017
Aishwarya Agrawal*, Jiasen Lu*, Stanislaw Antol*, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
* equal contribution
VQA: Visual Question Answering
Special Issue on Combined Image and Language Understanding
International Journal of Computer Vision (IJCV), 2017
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
Neural Information Processing Systems (NIPS), 2017
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
International Conference on Computer Vision (ICCV), 2017
Prithvijit Chattopadhyay*, Deshraj Yadav*, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
* equal contribution
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017
Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
Ashwin Kalyan, Ramakrishna Vedantam, Devi Parikh
Sound-Word2Vec: Learning Word Representations Grounded in Sounds
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
Alexander Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, Jason Weston
ParlAI: A Dialog Research Software Platform (Demo)
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
Jiasen Lu*, Caiming Xiong*, Devi Parikh, Richard Socher
* equal contribution
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
[code]
Ramakrishna Vedantam, Samy Bengio, Kevin P Murphy, Devi Parikh, Gal Chechik
Context-aware Captions from Context-agnostic Supervision
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
Prithvijit Chattopadhyay*, Ramakrishna Vedantam*, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
* equal contribution
Counting Everyday Objects in Everyday Scenes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
Yash Goyal*, Tejas Khot*, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
* equal contribution
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering (a.k.a. The VQA v2.0 Dataset)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
International Conference on Learning Representations (ICLR), 2017
Rogerio Schmidt Feris, Christoph H. Lampert, Devi Parikh (Editors)
Visual Attributes (Book)
Series on Advances in Computer Vision and Pattern Recognition, Springer, 2017
Tanmay Batra, Devi Parikh
Cooperative Learning with Visual Attributes
arxiv.org/abs/1705.05512, 2017
Xiao Lin, Devi Parikh
Active Learning for Visual Question Answering: An Empirical Study
arXiv:1711.01732, 2017
Aishwarya Agrawal, Ani Kembhavi, Dhruv Batra, Devi Parikh
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
arxiv.org/abs/1704.08243, 2017
Arjun Chandrasekaran*, Deshraj Yadav*, Prithvijit Chattopadhyay*, Viraj Prabhu*, Devi Parikh
* equal contribution
It Takes Two to Tango: Towards Theory of AI’s Mind
arxiv.org/abs/1704.00717, 2017
[demo]
2016 [back to top]
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
Hierarchical Question-Image Co-Attention for Visual Question Answering
Neural Information Processing Systems (NIPS), 2016
Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal
Sort Story: Sorting Jumbled Images and Captions into Stories
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, Devi Parikh
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
Analyzing the Behavior of Visual Question Answering Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Abhishek Das*, Harsh Agrawal*, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
* equal contribution
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Also presented at:
Workshop on Visualization for Deep Learning at
International Conference on Machine Learning (ICML), 2016
(Best student paper)
Yash Goyal, Akrit Mohapatra, Devi Parikh, Dhruv Batra
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Workshop on Visualization for Deep Learning at
International Conference on Machine Learning (ICML), 2016
(Best student paper)
Xiao Lin, Devi Parikh
Leveraging Visual Question Answering for Image-Caption Ranking
European Conference on Computer Vision (ECCV), 2016
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, Cesar A. Hidalgo
Deep Learning the City: Quantifying Urban Perception at a Global Scale
European Conference on Computer Vision (ECCV), 2016
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering
AI Magazine (2016)
Arjun Chandrasekaran, Ashwin Kalyan, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
We Are Humor Beings: Understanding and Predicting Visual Humor
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Spotlight)
Peng Zhang*, Yash Goyal*, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
* equal contribution
Yin and Yang: Balancing and Answering Binary Visual Questions
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Satwik Kottur*, Ramakrishna Vedantam*, José M. F. Moura, Devi Parikh
* equal contribution
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Jianwei Yang, Devi Parikh, Dhruv Batra
Joint Unsupervised Learning of Deep Representations and Image Clusters
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
Nasrin Mostafazadeh, Nate Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016 (Oral)
Shrenik Lad, Bernardino Romera Paredes, Julien Valentin, Philip Torr, Devi Parikh
Knowing Who To Listen To: Prioritizing Experts from a Diverse Ensemble for Attribute Personalization
International Conference on Image Processing (ICIP), 2016
C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh
Adopting Abstract Images for Semantic Scene Understanding
Special Issue on the best papers at the
2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016
Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh.
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016
2015 [back to top]
Stanislaw Antol*, Aishwarya Agrawal*, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
* equal contribution
VQA: Visual Question Answering
International Conference on Computer Vision (ICCV), 2015
Ramakrishna Vedantam*, Xiao Lin*, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
* equal contribution
Learning Common Sense Through Visual Abstraction
International Conference on Computer Vision (ICCV), 2015
Xiao Lin, Devi Parikh
Don’t Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (Oral)
[extended abstract] [talk (video)] [project page with code, data, slides, etc.]
Mainak Jas, Devi Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (Oral)
[extended abstract] [talk (video)] [project page with code, data, slides, etc.]
Arturo Deza, Devi Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
CIDEr: Consensus-based Image Description Evaluation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Adriana Kovashka, Devi Parikh, Kristen Grauman
WhittleSearch: Interactive Image Search with Relative Attribute Feedback
International Journal of Computer Vision (IJCV), 2015
2014 [back to top]
Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh
Zero-Shot Learning via Visual Abstraction.
European Conference on Computer Vision (ECCV), 2014
Shrenik Lad, Devi Parikh
Interactively Guiding Semi-Supervised Clustering via Attribute-based Explanations.
European Conference on Computer Vision (ECCV), 2014
Aayush Bansal, Ali Farhadi, Devi Parikh
Towards Transparent Systems: Semantic Characterization of Failure Modes
European Conference on Computer Vision (ECCV), 2014
Phillip Isola, Devi Parikh, Jianxiong Xiao, Antonio Torralba, Aude Oliva
What makes a photograph memorable?
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014
Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh
Predicting Failures of Vision Systems
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Gordon Christie, Amar Parkash, Ujwal Krothapalli, Devi Parikh
Predicting User Annoyance Using Visual Attributes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Xiao Lin, Michael Cogswell, Devi Parikh, Dhruv Batra
Propose and Re-rank Semantic Segmentation via Deep Image Classification
Big Vision workshop
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
2013 [back to top]
Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher, C. Lawrence Zitnick
Workshop on 3D Representation and Recognition (3dRR)
International Conference on Computer Vision (ICCV), 2013
Devi Parikh
Visual Attributes for Enhanced Human-Machine Communication (Invited paper)
Allerton Conference on Communication, Control and Computing, 2013 (Oral)
Naman Turakhia, Devi Parikh
Attribute Dominance: What Pops Out?
International Conference on Computer Vision (ICCV), 2013
Amir Sadovnik, Andrew C. Gallagher, Devi Parikh, Tsuhan Chen
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing
International Conference on Computer Vision (ICCV), 2013
Devi Parikh, Kristen Grauman
Implied Feedback: Learning Nuances of User Behavior in Image Search
International Conference on Computer Vision (ICCV), 2013
[supp material] [poster]
C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende
Learning the Visual Interpretation of Sentences
International Conference on Computer Vision (ICCV), 2013
C. Lawrence Zitnick, Devi Parikh
Bringing Semantics Into Focus Using Visual Abstraction
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 (Oral)
Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
[poster]
Arijit Biswas, Devi Parikh
Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
[project page and data] [poster] [demo]
Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi
Multi-Attribute Queries: To Merge or Not to Merge?
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
[poster]
Naman Agrawal, Arijit Biswas, Adriana Kovashka, Kristen Grauman, Devi Parikh
Relative Attributes for Enhanced Human-Machine Communication (Demo)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
2012 [back to top]
Amar Parkash, Devi Parikh
Attributes for Classifier Feedback
European Conference on Computer Vision (ECCV), 2012 (Oral)
[slides] [talk (video)] [project page and data] [demo]
Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman
Relative Attributes for Enhanced Human-Machine Communication (Invited paper)
AAAI Conference on Artificial Intelligence (AAAI) 2012 (Oral)
[[Relative description demo][rel-desc-demo]] [Classifier feedback demo]
Congcong Li, Devi Parikh, Tsuhan Chen
Automatic Discovery of Groups of Objects for Scene Understanding
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[project page] [poster]
Adriana Kovashka, Devi Parikh, Kristen Grauman
WhittleSearch: Image Search with Relative Attribute Feedback
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[project page and data] [poster] [[demo][whit-demo]] [video]
Kun Duan, Devi Parikh, David J. Crandall, Kristen Grauman
Discovering Localized Attributes for Fine-grained Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[project page] [poster]
C. Lawrence Zitnick, Devi Parikh
The Role of Image Understanding in Contour Detection
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[project page] [data] [poster]
Devi Parikh, Phillip Isola, Antonio Torralba, Aude Oliva
Understanding the Intrinsic Memorability of Images (Abstract)
Visual Sciences Society (VSS), 2012
[project page] [MIT news]
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012
2011 [back to top]
Devi Parikh, C. Lawrence Zitnick
Second Workshop on Computational Social Science and the Wisdom of Crowds
Neural Information Processing Systems (NIPS), 2011
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jeibo Luo, Tsuhan Chen
Interactive Co-segmentation of Objects in Image Collections (Book)
SpringerBriefs in Computer Science, 2011
Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva
Understanding the Intrinsic Memorability of Images
Neural Information Processing Systems (NIPS), 2011
[project page] [MIT news]
Devi Parikh, Kristen Grauman
International Conference on Computer Vision (ICCV), 2011 (Oral)
Marr Prize (Best Paper Award) Winner
[project page] [data] [code] [slides] [talk (video)] [poster] [[relative description demo][rel-desc-demo]] [classifier feedback demo]
Devi Parikh
Recognizing Jumbled Images: The Role of Local and Global Information in Image Classification
International Conference on Computer Vision (ICCV), 2011
Congcong Li, Devi Parikh, Tsuhan Chen
Extracting Adaptive Contextual Cues from Unlabeled Regions
International Conference on Computer Vision (ICCV), 2011
Devi Parikh, C. Lawrence Zitnick
Finding the Weakest Link in Person Detectors
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
[project page] [data] [poster] [slides]
Devi Parikh, Kristen Grauman
Interactively Building a Discriminative Vocabulary of Nameable Attributes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
Devi Parikh, Kristen Grauman
Interactive Discovery of Task-Specific Nameable Attributes (Abstract)
First Workshop on Fine-Grained Visual Categorization (FGVC)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (Best Poster Award)
[project page] [poster]
Andrew Gallagher, Dhruv Batra, Devi Parikh
Inference for Order Reduction in MRFs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jeibo Luo, Tsuhan Chen
Interactively Co-segmenting Topically Related Image with Intelligent Scribble Guidance
International Journal of Computer Vision (IJCV), January 2011
C. Lawrence Zitnick, Devi Parikh
Color Source Separation for Enhanced Pixel Manipulations
MSR-TR-2011-98, Microsoft Research, 2011
2010 [back to top]
Devi Parikh, C. Lawrence Zitnick
The Role of Features, Algorithms and Data in Visual Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan Chen
Beyond Trees: MRF Inference via Outer-Planar Decomposition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
[poster]
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jeibo Luo, Tsuhan Chen
iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
2009 [back to top]
Devi Parikh
Modeling Context for Image Understanding: When, For What, How?
Ph.D. Thesis, Carnegie Mellon University, 2009
Dhruv Batra, Devi Parikh, Adarsh Kowdle, Tsuhan Chen, Jeibo Luo
Seed Image Selection in Interactive Cosegmentation
IEEE International Conference on Image Processing (ICIP), 2009
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
Unsupervised Learning of Hierarchical Spatial Structures in Images
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Tsuhan Chen
Cutout-Search: Putting a name to the Picture
Workshop on Internet Vision
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Dhruv Batra, Adarsh Kowdle, Kevin Tang, Devi Parikh, Jeibo Luo, Tsuhan Chen
Interactive Cosegmentation by Touch (Demo)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Ching-Hao Mao, Hahn-Ming Lee, Devi Parikh, Tsuhan Chen, Si-Yu Huang
Semi-Supervised Cotraining and Active Learning based Approach for Multi-view Intrusion Detection
ACM Symposium on Applied Computing (SAC), 2009
2008 [back to top]
Devi Parikh, Tsuhan Chen
Unsupervised Modeling of Objects and their Hierarchical Contextual Interactions
EURASIP Journal on Image and Video Processing
Special Issue on Patches in Vision, 2008
[slides]
Devi Parikh, Tsuhan Chen
Data Fusion and Cost Minimization for Intrusion Detection
IEEE Transactions on Information Forensics and Security
Special Issue on Statistical Methods for Network Security and Forensics, 2008
Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer Frymiare, John Kounios and Christopher M. Clark
An Ensemble Based Data Fusion for Early Diagnosis of Alzheimer’s Disease
Information Fusion, Special Issue on Applications of Ensemble Methods, 2008
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
Determining Patch Saliency Using Low-Level Context
European Conference on Computer Vision (ECCV), 2008
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
From Appearance to Context-Based Recognition: Dense Labeling in Small Images
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
[poster]
Devi Parikh, Tsuhan Chen
Bringing Diverse Classifiers to Common Grounds: dtransform
International Conference on Acoustics, Speech, Signal Processing (ICASSP), 2008
[slides]
Devi Parikh, Gavin Jancke
Localization and Segmentation of a 2D High Capacity Color Barcode
Workshop on Applications in Computer Vision (WACV), 2008
[slides]
2007 [back to top]
Devi Parikh, Robi Polikar
An Ensemble Based Incremental Learning Approach to Data Fusion
IEEE Transactions on Systems, Man and Cybernetics, 2007
Devi Parikh, Tsuhan Chen
Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
Asian Conference in Computer Vision (ACCV), 2007
[poster]
Devi Parikh, Tsuhan Chen
Hierarchical Semantics of Objects (hSOs)
IEEE International Conference in Computer Vision (ICCV), 2007
Devi Parikh, Tsuhan Chen
Classification-Error Cost Minimization Strategy: dCMS
IEEE Statistical Signal Processing Workshop, 2007
[poster]
Devi Parikh, Tsuhan Chen
Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
Beyond Patches Workshop
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
(Best Paper Award)
[slides]
Devi Parikh, Rahul Sukthankar, Tsuhan Chen, Mei Chen
Feature-based Part Retrieval for Interactive 3D Reassembly
IEEE Workshop on Applications of Computer Vision (WACV), 2007
2006 [back to top]
Robi Polikar, Devi Parikh, Shreekanth Mandayam
Multiple Classifiers System for Multisensor Data Fusion
IEEE Proceedings on Sensors Applications Symposium, 2006
2005 [back to top]
Yusuf A. Mehta, Kauser Jahan, Jim Laicovsky, Laura Miller, Devi Parikh, Alicia Licon Lozano
The Journal of Solid Waste Technology And Management, 2005
Devi Parikh, Nick Stepenosky, Apostolos Topalis, Deborah Green, John Kounios, Christopher Clark, Robi Polikar
Ensemble Based Data Fusion for Early Diagnosis of Alzheimer’s Disease
IEEE Proceedings on Engineering in Medicine and Biology, 2005
Devi Parikh, Robi Polikar
A Multiple Classifier Approach for Multisensor Data Fusion
IEEE International Conference on Information Fusion (FUSION), 2005
2004 [back to top]
Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
Combining Classifiers for Multisensor Data Fusion
IEEE International Conference on Systems, Man and Cybernetics, 2004
Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
Ensemble of Classifiers Approach for NDT Data Fusion
IEEE Proceedings on Ultrasonics, Ferroelectrics and Frequency Control, 2004
2002 [back to top]
Devi Parikh, Yusuf A. Mehta, Kauser Jahan
Proceedings of Industrial and Hazardous Waste Conference, 2002