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2020 – today
- 2024
[j2]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, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)- [c54]Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra:
InstanceDiffusion: Instance-Level Control for Image Generation. CVPR 2024: 6232-6242 - [c53]Sachit Menon, Ishan Misra, Rohit Girdhar:
Generating Illustrated Instructions. CVPR 2024: 6274-6284 - [c52]Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CVPR 2024: 8207-8216 - [c51]Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell:
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CVPR 2024: 22755-22764 - [i60]Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra:
InstanceDiffusion: Instance-level Control for Image Generation. CoRR abs/2402.03290 (2024) - [i59]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, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - 2023
- [c50]Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CVPR 2023: 3124-3134 - [c49]Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar:
Learning Video Representations from Large Language Models. CVPR 2023: 6586-6597 - [c48]Sagar Vaze, Nicolas Carion, Ishan Misra:
GeneCIS: A Benchmark for General Conditional Image Similarity. CVPR 2023: 6862-6872 - [c47]Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
OmniMAE: Single Model Masked Pretraining on Images and Videos. CVPR 2023: 10406-10417 - [c46]Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
ImageBind One Embedding Space to Bind Them All. CVPR 2023: 15180-15190 - [c45]Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas:
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR 2023: 15619-15629 - [c44]Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV 2023: 5461-5471 - [c43]Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. ICCV 2023: 15777-15788 - [c42]Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross:
Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups. ICCV (Workshops) 2023: 2770-2777 - [c41]Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The hidden uniform cluster prior in self-supervised learning. ICLR 2023 - [c40]Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell:
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR 2023 - [c39]Yang Fu
, Ishan Misra, Xiaolong Wang:
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses. ICML 2023: 10392-10404 - [i58]Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas:
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR abs/2301.08243 (2023) - [i57]Quentin Duval, Ishan Misra, Nicolas Ballas:
A Simple Recipe for Competitive Low-compute Self supervised Vision Models. CoRR abs/2301.09451 (2023) - [i56]Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross:
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. CoRR abs/2301.11100 (2023) - [i55]Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR abs/2301.11320 (2023) - [i54]Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell:
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR abs/2302.14483 (2023) - [i53]Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR abs/2303.13496 (2023) - [i52]Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR abs/2304.05387 (2023) - [i51]Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i50]Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
ImageBind: One Embedding Space To Bind Them All. CoRR abs/2305.05665 (2023) - [i49]Sagar Vaze, Nicolas Carion, Ishan Misra:
GeneCIS: A Benchmark for General Conditional Image Similarity. CoRR abs/2306.07969 (2023) - [i48]Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell:
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CoRR abs/2308.14710 (2023) - [i47]Sai Saketh Rambhatla, Ishan Misra:
SelfEval: Leveraging the discriminative nature of generative models for evaluation. CoRR abs/2311.10708 (2023) - [i46]Rohit Girdhar, Mannat Singh, Andrew Brown, Quentin Duval, Samaneh Azadi, Sai Saketh Rambhatla, Akbar Shah, Xi Yin, Devi Parikh, Ishan Misra:
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning. CoRR abs/2311.10709 (2023) - [i45]Nur Muhammad (Mahi) Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto:
On Bringing Robots Home. CoRR abs/2311.16098 (2023) - [i44]Sachit Menon, Ishan Misra, Rohit Girdhar:
Generating Illustrated Instructions. CoRR abs/2312.04552 (2023) - [i43]Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR abs/2312.17681 (2023) - 2022
- [c38]Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten:
Scaling up Instance Segmentation using Approximately Localized Phrases. BMVC 2022: 648 - [c37]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR 2022: 1280-1289 - [c36]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CVPR 2022: 16081-16091 - [c35]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) 2022: 350-368 - [c34]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) 2022: 456-473 - [c33]Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman:
Frame Averaging for Invariant and Equivariant Network Design. ICLR 2022 - [c32]Randall Balestriero, Ishan Misra, Yann LeCun:
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training. NeurIPS 2022 - [i42]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR abs/2201.02605 (2022) - [i41]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CoRR abs/2201.08377 (2022) - [i40]Randall Balestriero, Ishan Misra, Yann LeCun:
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments. CoRR abs/2202.08325 (2022) - [i39]Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski:
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR abs/2202.08360 (2022) - [i38]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. CoRR abs/2204.07141 (2022) - [i37]Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
OmniMAE: Single Model Masked Pretraining on Images and Videos. CoRR abs/2206.08356 (2022) - [i36]Yang Fu, Ishan Misra, Xiaolong Wang:
Multiplane NeRF-Supervised Disentanglement of Depth and Camera Pose from Videos. CoRR abs/2210.07181 (2022) - [i35]Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR abs/2210.07277 (2022) - [i34]Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar:
Learning Video Representations from Large Language Models. CoRR abs/2212.04501 (2022) - 2021
- [c31]Pedro Morgado, Nuno Vasconcelos, Ishan Misra:
Audio-Visual Instance Discrimination with Cross-Modal Agreement. CVPR 2021: 12475-12486 - [c30]Pedro Morgado, Ishan Misra, Nuno Vasconcelos:
Robust Audio-Visual Instance Discrimination. CVPR 2021: 12934-12945 - [c29]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition Without Spatially Labeled 3D. CVPR 2021: 13204-13213 - [c28]Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV 2021: 1760-1770 - [c27]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. ICCV 2021: 2886-2897 - [c26]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat:
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV 2021: 8423-8432 - [c25]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. ICCV 2021: 9630-9640 - [c24]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. ICCV 2021: 10232-10243 - [c23]Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques:
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. ICCV 2021: 10540-10552 - [c22]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML 2021: 12310-12320 - [c21]Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS 2021: 12493-12506 - [i33]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. CoRR abs/2101.02691 (2021) - [i32]Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski:
Self-supervised Pretraining of Visual Features in the Wild. CoRR abs/2103.01988 (2021) - [i31]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR abs/2103.03230 (2021) - [i30]Mandela Patrick, Yuki Markus Asano, Bernie Huang, Ishan Misra, Florian Metze, João F. Henriques, Andrea Vedaldi:
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. CoRR abs/2103.10211 (2021) - [i29]Pedro Morgado, Ishan Misra, Nuno Vasconcelos:
Robust Audio-Visual Instance Discrimination. CoRR abs/2103.15916 (2021) - [i28]Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR abs/2104.12763 (2021) - [i27]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat:
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR abs/2104.13963 (2021) - [i26]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. CoRR abs/2104.14294 (2021) - [i25]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition without Spatially Labeled 3D. CoRR abs/2105.06461 (2021) - [i24]Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR abs/2106.05392 (2021) - [i23]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. CoRR abs/2109.08141 (2021) - [i22]Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman:
Frame Averaging for Invariant and Equivariant Network Design. CoRR abs/2110.03336 (2021) - [i21]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR abs/2112.01527 (2021) - [i20]Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. CoRR abs/2112.10764 (2021) - 2020
- [c20]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CVPR 2020: 6508-6517 - [c19]Ishan Misra, Laurens van der Maaten:
Self-Supervised Learning of Pretext-Invariant Representations. CVPR 2020: 6706-6716 - [c18]Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen:
In Defense of Grid Features for Visual Question Answering. CVPR 2020: 10264-10273 - [c17]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS 2020 - [i19]Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen:
In Defense of Grid Features for Visual Question Answering. CoRR abs/2001.03615 (2020) - [i18]Pedro Morgado, Nuno Vasconcelos, Ishan Misra:
Audio-Visual Instance Discrimination with Cross-Modal Agreement. CoRR abs/2004.12943 (2020) - [i17]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR abs/2006.09882 (2020) - [i16]Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR abs/2011.13046 (2020)
2010 – 2019
- 2019
- [c16]Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten:
Does Object Recognition Work for Everyone? CVPR Workshops 2019: 52-59 - [c15]Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. ICCV 2019: 2212-2221 - [c14]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV 2019: 6390-6399 - [c13]Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Evaluating Text-to-Image Matching using Binary Image Selection (BISON). ICCV Workshops 2019: 1887-1890 - [i15]Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding. CoRR abs/1901.06595 (2019) - [i14]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR abs/1905.01235 (2019) - [i13]Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten:
Does Object Recognition Work for Everyone? CoRR abs/1906.02659 (2019) - [i12]Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. CoRR abs/1906.02729 (2019) - [i11]Ishan Misra, Laurens van der Maaten:
Self-Supervised Learning of Pretext-Invariant Representations. CoRR abs/1912.01991 (2019) - [i10]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CoRR abs/1912.03330 (2019) - 2018
- [c12]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CVPR 2018: 11-20 - [c11]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:
Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing. USENIX ATC 2018: 29-42 - 2017
- [c10]Ishan Misra, Abhinav Gupta, Martial Hebert:
From Red Wine to Red Tomato: Composition with Context. CVPR 2017: 1160-1169 - [c9]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. ICCV 2017: 1310-1319 - [i9]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. CoRR abs/1708.01642 (2017) - [i8]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CoRR abs/1712.01238 (2017) - 2016
- [c8]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. ACL (1) 2016 - [c7]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. CVPR 2016: 2930-2939 - [c6]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-Stitch Networks for Multi-task Learning. CVPR 2016: 3994-4003 - [c5]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. ECCV (1) 2016: 527-544 - [c4]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [i7]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. CoRR abs/1603.06059 (2016) - [i6]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Unsupervised Learning using Sequential Verification for Action Recognition. CoRR abs/1603.08561 (2016) - [i5]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-stitch Networks for Multi-task Learning. CoRR abs/1604.03539 (2016) - [i4]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. CoRR abs/1604.03968 (2016) - 2015
- [j1]Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr:
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9: 8 (2015) - [c3]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Watch and learn: Semi-supervised learning of object detectors from videos. CVPR 2015: 3593-3602 - [i3]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos. CoRR abs/1505.05769 (2015) - [i2]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Learning Visual Classifiers using Human-centric Annotations. CoRR abs/1512.06974 (2015) - 2014
- [c2]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Data-driven exemplar model selection. WACV 2014: 339-346 - 2013
- [i1]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, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta:
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth. CoRR abs/1303.2171 (2013) - 2011
- [c1]Aditya Deshpande, Ishan Misra, P. J. Narayanan:
Hybrid implementation of error diffusion dithering. HiPC 2011: 1-10
Coauthor Index
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