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ORCIDGregory Shakhnarovich
Greg Shakhnarovich
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2020 – today
- 2024
[c72]Joshua Ahn, Haochen Wang, Raymond A. Yeh, Greg Shakhnarovich:
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. CVPR 2024: 20396-20405- [c71]Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi:
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model. ICLR 2024 - [c70]Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka:
HyperFields: Towards Zero-Shot Generation of NeRFs from Text. ICML 2024 - [c69]Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter:
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. IROS 2024: 9737-9744 - [i56]Joshua Ahn, Haochen Wang, Raymond A. Yeh, Greg Shakhnarovich:
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. CoRR abs/2404.02155 (2024) - [i55]Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter:
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR abs/2404.19221 (2024) - [i54]Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu:
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale. CoRR abs/2406.06907 (2024) - [i53]Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu, Alexander H. Liu:
SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. CoRR abs/2411.16765 (2024) - 2023
- [c68]Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich:
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. CVPR 2023: 12619-12629 - [c67]Marcelo Sandoval-Castañeda, Yanhong Li, Bowen Shi, Diane Brentari, Karen Livescu, Gregory Shakhnarovich:
TTIC's Submission to WMT-SLT 23. WMT 2023: 344-350 - [i52]Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter:
NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR abs/2305.13307 (2023) - [i51]Marcelo Sandoval-Castañeda, Yanhong Li, Diane Brentari, Karen Livescu
, Gregory Shakhnarovich:
Self-Supervised Video Transformers for Isolated Sign Language Recognition. CoRR abs/2309.02450 (2023) - [i50]Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka:
HyperFields: Towards Zero-Shot Generation of NeRFs from Text. CoRR abs/2310.17075 (2023) - [i49]Takuma Yoneda, Tianchong Jiang, Gregory Shakhnarovich, Matthew R. Walter:
6-DoF Stability Field via Diffusion Models. CoRR abs/2310.17649 (2023) - [i48]Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi:
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model. CoRR abs/2311.06214 (2023) - [i47]Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad:
Generative Models: What do they know? Do they know things? Let's find out! CoRR abs/2311.17137 (2023) - 2022
- [j10]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Erratum to "Deep Back-Projection Networks for Single Image Super-Resolution". IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1122 (2022) - [j9]Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. 7(2): 5397-5404 (2022) - [c66]Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Searching for fingerspelled content in American Sign Language. ACL (1) 2022: 1699-1712 - [c65]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon:
Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) 2022: 245-262 - [c64]Bowen Shi, Diane Brentari, Gregory Shakhnarovich, Karen Livescu:
Open-Domain Sign Language Translation Learned from Online Video. EMNLP 2022: 6365-6379 - [c63]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. ICRA 2022: 8468-8475 - [c62]Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang:
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. NeurIPS 2022 - [c61]Bowen Shi, Diane Brentari, Gregory Shakhnarovich, Karen Livescu:
TTIC's WMT-SLT 22 Sign Language Translation System. WMT 2022: 989-993 - [i46]Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang:
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. CoRR abs/2202.05920 (2022) - [i45]Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich:
Neural Neighbor Style Transfer. CoRR abs/2203.13215 (2022) - [i44]Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Searching for fingerspelled content in American Sign Language. CoRR abs/2203.13291 (2022) - [i43]Jiahao Li, Greg Shakhnarovich, Raymond A. Yeh:
Adapting CLIP For Phrase Localization Without Further Training. CoRR abs/2204.03647 (2022) - [i42]Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Open-Domain Sign Language Translation Learned from Online Video. CoRR abs/2205.12870 (2022) - [i41]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon:
Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR abs/2207.14287 (2022) - [i40]Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich:
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators. CoRR abs/2209.03953 (2022) - [i39]Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich:
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. CoRR abs/2212.00774 (2022) - [i38]Nam Anh Dinh, Haochen Wang, Greg Shakhnarovich, Rana Hanocka:
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing. CoRR abs/2212.04981 (2022) - 2021
- [j8]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Deep Back-ProjectiNetworks for Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4323-4337 (2021) - [c60]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR 2021: 4029-4039 - [c59]Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling Detection in American Sign Language. CVPR 2021: 4166-4175 - [c58]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Task-Driven Super Resolution: Object Detection in Low-Resolution Images. ICONIP (5) 2021: 387-395 - [i37]Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. CoRR abs/2104.00152 (2021) - [i36]Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling Detection in American Sign Language. CoRR abs/2104.01291 (2021) - [i35]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. CoRR abs/2112.03325 (2021) - 2020
- [c57]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV 2020: 1-11 - [c56]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Space-Time-Aware Multi-Resolution Video Enhancement. CVPR 2020: 2856-2865 - [c55]Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. CVPR 2020: 9461-9470 - [c54]Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Deformable Style Transfer. ECCV (26) 2020: 246-261 - [i34]Ruotian Luo, Gregory Shakhnarovich:
Analysis of diversity-accuracy tradeoff in image captioning. CoRR abs/2002.11848 (2020) - [i33]Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Deformable Style Transfer. CoRR abs/2003.11038 (2020) - [i32]Davis Gilton, Ruotian Luo, Rebecca Willett, Greg Shakhnarovich:
Detection and Description of Change in Visual Streams. CoRR abs/2003.12633 (2020) - [i31]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Space-Time-Aware Multi-Resolution Video Enhancement. CoRR abs/2003.13170 (2020) - [i30]Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. CoRR abs/2004.01849 (2020) - [i29]Ruotian Luo, Greg Shakhnarovich:
Controlling Length in Image Captioning. CoRR abs/2005.14386 (2020) - [i28]Yuval Bahat, Gregory Shakhnarovich:
Classification Confidence Estimation with Test-Time Data-Augmentation. CoRR abs/2006.16705 (2020) - [i27]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR abs/2008.06630 (2020) - [i26]Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR abs/2012.07287 (2020)
2010 – 2019
- 2019
- [j7]Herman Kamper, Gregory Shakhnarovich, Karen Livescu:
Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 89-98 (2019) - [c53]Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c52]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c51]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c50]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c49]Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita:
Recurrent Back-Projection Network for Video Super-Resolution. CVPR 2019: 3897-3906 - [c48]Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CVPR 2019: 10051-10060 - [c47]Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling Recognition in the Wild With Iterative Visual Attention. ICCV 2019: 5399-5408 - [c46]Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - [c45]Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590 - [i25]Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. CoRR abs/1902.00236 (2019) - [i24]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Recurrent Back-Projection Network for Video Super-Resolution. CoRR abs/1903.10128 (2019) - [i23]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Deep Back-Projection Networks for Single Image Super-resolution. CoRR abs/1904.05677 (2019) - [i22]Nicholas I. Kolkin, Jason Salavon, Greg Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. CoRR abs/1904.12785 (2019) - [i21]Igor Vasiljevic, Nicholas I. Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich:
DIODE: A Dense Indoor and Outdoor DEpth Dataset. CoRR abs/1908.00463 (2019) - [i20]Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
Fingerspelling recognition in the wild with iterative visual attention. CoRR abs/1908.10546 (2019) - 2018
- [c44]Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita:
Deep Back-Projection Networks for Super-Resolution. CVPR 2018: 1664-1673 - [c43]Herman Kamper, Gregory Shakhnarovich, Karen Livescu:
Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech. CVPR Workshops 2018: 2514-2517 - [c42]Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich:
Regularizing Deep Networks by Modeling and Predicting Label Structure. CVPR 2018: 5629-5638 - [c41]Ruotian Luo, Brian L. Price, Scott Cohen, Gregory Shakhnarovich:
Discriminability Objective for Training Descriptive Captions. CVPR 2018: 6964-6974 - [c40]Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller:
Self-Supervised Relative Depth Learning for Urban Scene Understanding. ECCV (11) 2018: 20-37 - [c39]Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Jonathan Michaux, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
American Sign Language Fingerspelling Recognition in the Wild. SLT 2018: 145-152 - [i19]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Deep Back-Projection Networks For Super-Resolution. CoRR abs/1803.02735 (2018) - [i18]Ruotian Luo, Brian L. Price, Scott Cohen, Gregory Shakhnarovich:
Discriminability objective for training descriptive captions. CoRR abs/1803.04376 (2018) - [i17]Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Task-Driven Super Resolution: Object Detection in Low-resolution Images. CoRR abs/1803.11316 (2018) - [i16]Yuval Bahat, Gregory Shakhnarovich:
Confidence from Invariance to Image Transformations. CoRR abs/1804.00657 (2018) - [i15]Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich:
Regularizing Deep Networks by Modeling and Predicting Label Structure. CoRR abs/1804.02009 (2018) - [i14]Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Jonathan Michaux, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
American Sign Language fingerspelling recognition in the wild. CoRR abs/1810.11438 (2018) - 2017
- [j6]Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu:
Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. Comput. Speech Lang. 46: 209-232 (2017) - [c38]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. CVPR 2017: 840-849 - [c37]Ruotian Luo, Gregory Shakhnarovich:
Comprehension-Guided Referring Expressions. CVPR 2017: 3125-3134 - [c36]Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman:
Training Deep Networks to be Spatially Sensitive. ICCV 2017: 5669-5678 - [c35]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
FractalNet: Ultra-Deep Neural Networks without Residuals. ICLR (Poster) 2017 - [c34]Herman Kamper, Shane Settle, Gregory Shakhnarovich, Karen Livescu:
Visually Grounded Learning of Keyword Prediction from Untranscribed Speech. INTERSPEECH 2017: 3677-3681 - [i13]Ruotian Luo, Gregory Shakhnarovich:
Comprehension-guided referring expressions. CoRR abs/1701.03439 (2017) - [i12]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. CoRR abs/1703.04044 (2017) - [i11]Herman Kamper, Shane Settle, Gregory Shakhnarovich, Karen Livescu:
Visually grounded learning of keyword prediction from untranscribed speech. CoRR abs/1703.08136 (2017) - [i10]Nicholas I. Kolkin, Gregory Shakhnarovich, Eli Shechtman:
Training Deep Networks to be Spatially Sensitive. CoRR abs/1708.02212 (2017) - [i9]Herman Kamper, Gregory Shakhnarovich, Karen Livescu:
Semantic keyword spotting by learning from images and speech. CoRR abs/1710.01949 (2017) - [i8]Huaizu Jiang, Erik G. Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich:
Self-Supervised Depth Learning for Urban Scene Understanding. CoRR abs/1712.04850 (2017) - 2016
- [c33]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Learning Representations for Automatic Colorization. ECCV (4) 2016: 577-593 - [c32]Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich:
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. NIPS 2016: 2658-2666 - [i7]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Learning Representations for Automatic Colorization. CoRR abs/1603.06668 (2016) - [i6]Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich:
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. CoRR abs/1605.07081 (2016) - [i5]Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
FractalNet: Ultra-Deep Neural Networks without Residuals. CoRR abs/1605.07648 (2016) - [i4]Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu:
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation. CoRR abs/1609.07876 (2016) - [i3]Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich:
Examining the Impact of Blur on Recognition by Convolutional Networks. CoRR abs/1611.05760 (2016) - [i2]Mohammadreza Mostajabi, Nicholas I. Kolkin, Gregory Shakhnarovich:
Diverse Sampling for Self-Supervised Learning of Semantic Segmentation. CoRR abs/1612.01991 (2016) - 2015
- [c31]Mohammadreza Mostajabi, Payman Yadollahpour, Gregory Shakhnarovich:
Feedforward semantic segmentation with zoom-out features. CVPR 2015: 3376-3385 - 2014
- [j5]Subhransu Maji, Gregory Shakhnarovich:
Part and Attribute Discovery from Relative Annotations. Int. J. Comput. Vis. 108(1-2): 82-96 (2014) - [c30]Ejaz Ahmed, Gregory Shakhnarovich, Subhransu Maji:
Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection. ECCV (1) 2014: 80-94 - [c29]Shubhendu Trivedi, David A. McAllester, Greg Shakhnarovich:
Discriminative Metric Learning by Neighborhood Gerrymandering. NIPS 2014: 3392-3400 - [c28]Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich:
A Consistent Estimator of the Expected Gradient Outerproduct. UAI 2014: 819-828 - [i1]Mohammadreza Mostajabi, Payman Yadollahpour, Gregory Shakhnarovich:
Feedforward semantic segmentation with zoom-out features. CoRR abs/1412.0774 (2014) - 2013
- [c27]Subhransu Maji, Gregory Shakhnarovich:
Part Discovery from Partial Correspondence. CVPR 2013: 931-938 - [c26]Payman Yadollahpour, Dhruv Batra, Gregory Shakhnarovich:
Discriminative Re-ranking of Diverse Segmentations. CVPR 2013: 1923-1930 - [c25]Zhile Ren, Gregory Shakhnarovich:
Image Segmentation by Cascaded Region Agglomeration. CVPR 2013: 2011-2018 - [c24]Kevin Gimpel, Dhruv Batra, Chris Dyer, Gregory Shakhnarovich:
A Systematic Exploration of Diversity in Machine Translation. EMNLP 2013: 1100-1111 - [c23]Taehwan Kim, Gregory Shakhnarovich, Karen Livescu:
Fingerspelling Recognition with Semi-Markov Conditional Random Fields. ICCV 2013: 1521-1528 - 2012
- [j4]Daniel Glasner, Meirav Galun, Sharon Alpert, Ronen Basri, Gregory Shakhnarovich:
Viewpoint-aware object detection and continuous pose estimation. Image Vis. Comput. 30(12): 923-933 (2012) - [c22]Dhruv Batra, Payman Yadollahpour, Abner Guzmán-Rivera, Gregory Shakhnarovich:
Diverse M-Best Solutions in Markov Random Fields. ECCV (5) 2012: 1-16 - [c21]Subhransu Maji, Gregory Shakhnarovich:
Part Annotations via Pairwise Correspondence. HCOMP@AAAI 2012 - [c20]Taehwan Kim, Karen Livescu, Gregory Shakhnarovich:
American sign language fingerspelling recognition with phonological feature-based tandem models. SLT 2012: 119-124 - 2011
- [c19]Daniel Glasner, Meirav Galun, Sharon Alpert, Ronen Basri, Gregory Shakhnarovich:
Viewpoint-aware object detection and pose estimation. ICCV 2011: 1275-1282 - [p1]Gregory Shakhnarovich, Baback Moghaddam:
Face Recognition in Subspaces. Handbook of Face Recognition 2011: 19-49 - 2010
- [c18]Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun:
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives. NIPS 2010: 1117-1125
2000 – 2009
- 2009
- [j3]Anna M. Ritz, Gregory Shakhnarovich, Arthur R. Salomon, Benjamin J. Raphael:
Discovery of phosphorylation motif mixtures in phosphoproteomics data. Bioinform. 25(1): 14-21 (2009) - 2008
- [j2]Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk:
Nearest-Neighbor Methods in Learning and Vision. IEEE Trans. Neural Networks 19(2): 377 (2008) - [c17]Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw:
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves. MICCAI (1) 2008: 1051-1059 - 2006
- [c16]Leonid Taycher, David Demirdjian, Trevor Darrell, Gregory Shakhnarovich:
Conditional Random People: Tracking Humans with CRFs and Grid Filters. CVPR (1) 2006: 222-229 - [c15]Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis:
An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872 - [c14]Gregory Shakhnarovich, Sung-Phil Kim, Michael J. Black:
Nonlinear physically-based models for decoding motor-cortical population activity. NIPS 2006: 1257-1264 - 2005
- [b1]Gregory Shakhnarovich:
Learning task-specific similarity. Massachusetts Institute of Technology, Cambridge, MA, USA, 2005 - [j1]Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola:
Learning silhouette features for control of human motion. ACM Trans. Graph. 24(4): 1303-1331 (2005) - [c13]Ognjen Arandjelovic, Gregory Shakhnarovich, John Fisher, Roberto Cipolla, Trevor Darrell:
Face Recognition with Image Sets Using Manifold Density Divergence. CVPR (1) 2005: 581-588 - [c12]David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, Trevor Darrell:
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes. ICCV 2005: 357-364 - 2004
- [c11]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. ECCV Workshop SMVP 2004: 26-37 - [c10]Liu Ren, Gregory Shakhnarovich, Jessica K. Hodgins, Hanspeter Pfister, Paul A. Viola:
Learning silhouette features for control of human motion. SIGGRAPH Sketches 2004: 129 - 2003
- [c9]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
A Bayesian Approach to Image-Based Visual Hull Reconstruction. CVPR (1) 2003: 187-194 - [c8]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Inferring 3D Structure with a Statistical Image-Based Shape Model. ICCV 2003: 641-648 - [c7]Gregory Shakhnarovich, Paul A. Viola, Trevor Darrell:
Fast Pose Estimation with Parameter-Sensitive Hashing. ICCV 2003: 750-759 - 2002
- [c6]Gregory Shakhnarovich, John W. Fisher III, Trevor Darrell:
Face Recognition from Long-Term Observations. ECCV (3) 2002: 851-868 - [c5]Gregory Shakhnarovich, Paul A. Viola, Baback Moghaddam:
A Unified Learning Framework for Real Time Face Detection and Classification. FGR 2002: 16-26 - [c4]Gregory Shakhnarovich, Trevor Darrell:
On Probabilistic Combination of Face and Gait Cues for Identification. FGR 2002: 176-181 - [c3]Baback Moghaddam, Gregory Shakhnarovich:
Boosted Dyadic Kernel Discriminants. NIPS 2002: 745-752 - 2001
- [c2]Gregory Shakhnarovich, Lily Lee, Trevor Darrell:
Integrated Face and Gait Recognition From Multiple Views. CVPR (1) 2001: 439-446 - [c1]Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram:
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. ICML 2001: 521-528
Coauthor Index
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