Hybrid implementation of error diffusion dithering. - Aditya Deshpande; Ishan Misra; P. J. Narayanan (HiPC, 2011)

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth - Kishore Kothapalli; Dip Sankar Banerjee; P. J. Narayanan; Surinder Sood; Aman Kumar Bahl; Shashank Sharma; Shrenik Lad; Krishna Kumar Singh; Kiran Kumar Matam; Sivaramakrishna Bharadwaj; Rohit Nigam; Parikshit Sakurikar; et al. (CoRR, 2013)

Data-driven exemplar model selection. - Ishan Misra; Abhinav Shrivastava; Martial Hebert (WACV, 2014)

Watch and learn: Semi-supervised learning of object detectors from videos. - Ishan Misra; Abhinav Shrivastava; Martial Hebert (CVPR, 2015)

Learning Visual Classifiers using Human-centric Annotations. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CoRR, 2015)

Applying artificial vision models to human scene understanding. - Elissa Michele Aminoff; Mariya Toneva; Abhinav Shrivastava; Xinlei Chen; Ishan Misra; Abhinav Gupta 001; Michael J. Tarr (Frontiers Comput. Neurosci., 2015)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (ACL (1), 2016)

Cross-Stitch Networks for Multi-task Learning. - Ishan Misra; Abhinav Shrivastava; Abhinav Gupta 001; Martial Hebert (CVPR, 2016)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CVPR, 2016)

Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. - Ishan Misra; C. Lawrence Zitnick; Martial Hebert (ECCV (1), 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Unsupervised Learning using Sequential Verification for Action Recognition. - Ishan Misra; C. Lawrence Zitnick; Martial Hebert (CoRR, 2016)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Larry Zitnick; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (CoRR, 2016)

From Red Wine to Red Tomato: Composition with Context. - Ishan Misra; Abhinav Gupta 001; Martial Hebert (CVPR, 2017)

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. - Debidatta Dwibedi; Ishan Misra; Martial Hebert (ICCV, 2017)

Learning by Asking Questions. - Ishan Misra; Ross B. Girshick; Rob Fergus; Martial Hebert; Abhinav Gupta 001; Laurens van der Maaten (CVPR, 2018)

Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing. - Angela H. Jiang; Daniel L.-K. Wong; Christopher Canel; Lilia Tang; Ishan Misra; Michael Kaminsky; Michael A. Kozuch; Padmanabhan Pillai; David G. Andersen; Gregory R. Ganger (USENIX ATC, 2018)

Does Object Recognition Work for Everyone? - Terrance DeVries; Ishan Misra; Changhan Wang; Laurens van der Maaten (CVPR Workshops, 2019)

Scaling and Benchmarking Self-Supervised Visual Representation Learning. - Priya Goyal; Dhruv Mahajan 001; Abhinav Gupta 001; Ishan Misra (ICCV, 2019)

3D-RelNet: Joint Object and Relational Network for 3D Prediction. - Nilesh Kulkarni; Ishan Misra; Shubham Tulsiani; Abhinav Gupta 001 (ICCV, 2019)

Evaluating Text-to-Image Matching using Binary Image Selection (BISON). - Hexiang Hu; Ishan Misra; Laurens van der Maaten (ICCV Workshops, 2019)

Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding. - Hexiang Hu; Ishan Misra; Laurens van der Maaten (CoRR, 2019)

In Defense of Grid Features for Visual Question Answering. - Huaizu Jiang; Ishan Misra; Marcus Rohrbach; Erik G. Learned-Miller; Xinlei Chen (CVPR, 2020)

Self-Supervised Learning of Pretext-Invariant Representations. - Ishan Misra; Laurens van der Maaten (CVPR, 2020)

ClusterFit: Improving Generalization of Visual Representations. - Xueting Yan; Ishan Misra; Abhinav Gupta 001; Deepti Ghadiyaram; Dhruv Mahajan 001 (CVPR, 2020)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. - Mathilde Caron; Ishan Misra; Julien Mairal; Priya Goyal; Piotr Bojanowski; Armand Joulin (NeurIPS, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

Robust Audio-Visual Instance Discrimination. - Pedro Morgado 001; Ishan Misra; Nuno Vasconcelos (CVPR, 2021)

Audio-Visual Instance Discrimination with Cross-Modal Agreement. - Pedro Morgado 001; Nuno Vasconcelos; Ishan Misra (CVPR, 2021)

3D Spatial Recognition Without Spatially Labeled 3D. - Zhongzheng Ren; Ishan Misra; Alexander G. Schwing; Rohit Girdhar (CVPR, 2021)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Armand Joulin; Nicolas Ballas; Michael G. Rabbat (ICCV, 2021)

Emerging Properties in Self-Supervised Vision Transformers. - Mathilde Caron; Hugo Touvron; Ishan Misra; Hervé Jégou; Julien Mairal; Piotr Bojanowski; Armand Joulin (ICCV, 2021)

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. - Aishwarya Kamath; Mannat Singh; Yann LeCun; Gabriel Synnaeve; Ishan Misra; Nicolas Carion (ICCV, 2021)

An End-to-End Transformer Model for 3D Object Detection. - Ishan Misra; Rohit Girdhar; Armand Joulin (ICCV, 2021)

Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. - Mandela Patrick; Po-Yao Huang 001; Ishan Misra; Florian Metze; Andrea Vedaldi; Yuki M. Asano; João F. Henriques (ICCV, 2021)

Self-Supervised Pretraining of 3D Features on any Point-Cloud. - Zaiwei Zhang; Rohit Girdhar; Armand Joulin; Ishan Misra (ICCV, 2021)

Barlow Twins: Self-Supervised Learning via Redundancy Reduction. - Jure Zbontar; Li Jing 001; Ishan Misra; Yann LeCun; Stéphane Deny (ICML, 2021)

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. - Mandela Patrick; Dylan Campbell; Yuki M. Asano; Ishan Misra; Florian Metze; Christoph Feichtenhofer; Andrea Vedaldi; João F. Henriques (NeurIPS, 2021)

Self-supervised Pretraining of Visual Features in the Wild. - Priya Goyal; Mathilde Caron; Benjamin Lefaudeux; Min Xu; Pengchao Wang; Vivek Pai; Mannat Singh; Vitaliy Liptchinsky; Ishan Misra; Armand Joulin; Piotr Bojanowski (CoRR, 2021)

Mask2Former for Video Instance Segmentation. - Bowen Cheng; Anwesa Choudhuri; Ishan Misra; Alexander Kirillov; Rohit Girdhar; Alexander G. Schwing (CoRR, 2021)

Scaling up Instance Segmentation using Approximately Localized Phrases. - Karan Desai; Ishan Misra; Justin Johnson 001; Laurens van der Maaten (BMVC, 2022)

Masked-attention Mask Transformer for Universal Image Segmentation. - Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar (CVPR, 2022)

Omnivore: A Single Model for Many Visual Modalities. - Rohit Girdhar; Mannat Singh; Nikhila Ravi; Laurens van der Maaten; Armand Joulin; Ishan Misra (CVPR, 2022)

Masked Siamese Networks for Label-Efficient Learning. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Florian Bordes; Pascal Vincent; Armand Joulin; Mike Rabbat; Nicolas Ballas (ECCV (31), 2022)

Detecting Twenty-Thousand Classes Using Image-Level Supervision. - Xingyi Zhou; Rohit Girdhar; Armand Joulin; Philipp Krähenbühl; Ishan Misra (ECCV (9), 2022)

Frame Averaging for Invariant and Equivariant Network Design. - Omri Puny; Matan Atzmon; Edward J. Smith; Ishan Misra; Aditya Grover; Heli Ben-Hamu; Yaron Lipman (ICLR, 2022)

A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training. - Randall Balestriero; Ishan Misra; Yann LeCun (NeurIPS, 2022)

A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments. - Randall Balestriero; Ishan Misra; Yann LeCun (CoRR, 2022)

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Priya Goyal; Quentin Duval; Isaac Seessel; Mathilde Caron; Ishan Misra; Levent Sagun; Armand Joulin; Piotr Bojanowski (CoRR, 2022)

Multiplane NeRF-Supervised Disentanglement of Depth and Camera Pose from Videos. - Yang Fu; Ishan Misra; Xiaolong Wang 004 (CoRR, 2022)

Learning Video Representations from Large Language Models. - Yue Zhao 006; Ishan Misra; Philipp Krähenbühl; Rohit Girdhar (CVPR, 2023)

Cut and Learn for Unsupervised Object Detection and Instance Segmentation. - Xudong Wang 007; Rohit Girdhar; Stella X. Yu; Ishan Misra (CVPR, 2023)

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. - Mahmoud Assran; Quentin Duval; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Yann LeCun; Nicolas Ballas (CVPR, 2023)

ImageBind One Embedding Space to Bind Them All. - Rohit Girdhar; Alaaeldin El-Nouby; Zhuang Liu; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

OmniMAE: Single Model Masked Pretraining on Images and Videos. - Rohit Girdhar; Alaaeldin El-Nouby; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

GeneCIS: A Benchmark for General Conditional Image Similarity. - Sagar Vaze; Nicolas Carion; Ishan Misra (CVPR, 2023)

MOST: Multiple Object localization with Self-supervised Transformers for object discovery. - Sai Saketh Rambhatla; Ishan Misra; Rama Chellappa; Abhinav Shrivastava (ICCV, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (ICCV (Workshops), 2023)

The hidden uniform cluster prior in self-supervised learning. - Mido Assran; Randall Balestriero; Quentin Duval; Florian Bordes; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Nicolas Ballas (ICLR, 2023)

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. - Sangwoo Mo; Jong-Chyi Su; Chih-Yao Ma; Mido Assran; Ishan Misra; Licheng Yu; Sean Bell (ICLR, 2023)

MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses. - Yang Fu; Ishan Misra; Xiaolong Wang 004 (ICML, 2023)

A Simple Recipe for Competitive Low-compute Self supervised Vision Models. - Quentin Duval; Ishan Misra; Nicolas Ballas (CoRR, 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (CoRR, 2023)

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (CoRR, 2023)

On Bringing Robots Home. - Nur Muhammad (Mahi) Shafiullah; Anant Rai; Haritheja Etukuru; Yiqian Liu; Ishan Misra; Soumith Chintala; Lerrel Pinto (CoRR, 2023)

InstanceDiffusion: Instance-Level Control for Image Generation. - Xudong Wang 007; Trevor Darrell; Sai Saketh Rambhatla; Rohit Girdhar; Ishan Misra (CVPR, 2024)

VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. - Xudong Wang 007; Ishan Misra; Ziyun Zeng; Rohit Girdhar; Trevor Darrell (CVPR, 2024)

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. - Feng Liang; Bichen Wu; Jialiang Wang 001; Licheng Yu; Kunpeng Li; Yinan Zhao; Ishan Misra; Jia-Bin Huang; Peizhao Zhang; Peter Vajda; Diana Marculescu (CVPR, 2024)

Generating Illustrated Instructions. - Sachit Menon; Ishan Misra; Rohit Girdhar (CVPR, 2024)

Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (ECCV (62), 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 2024)

SelfEval: Leveraging discriminative nature of generative models for evaluation. - Sai Saketh Rambhatla; Ishan Misra (Trans. Mach. Learn. Res., 2025)

CAT: Content-Adaptive Image Tokenization. - Junhong Shen; Kushal Tirumala; Michihiro Yasunaga; Ishan Misra; Luke Zettlemoyer; Lili Yu; Chunting Zhou (CoRR, 2025)

LLMs can see and hear without any training. - Kumar Ashutosh; Yossi Gandelsman; Xinlei Chen; Ishan Misra; Rohit Girdhar (CoRR, 2025)

Diffusion Autoencoders are Scalable Image Tokenizers. - Yinbo Chen; Rohit Girdhar; Xiaolong Wang 004; Sai Saketh Rambhatla; Ishan Misra (CoRR, 2025)

Generating Multi-Image Synthetic Data for Text-to-Image Customization. - Nupur Kumari; Xi Yin 001; Jun-Yan Zhu; Ishan Misra; Samaneh Azadi (CoRR, 2025)