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ORCIDStefano Soatto
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2023
[c249]Shay Deutsch, Stefano Soatto:
Graph Spectral Embedding using the Geodesic Betweenness Centrality. AISTATS 2023: 10505-10519- [c248]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR 2023: 3623-3632 - [c247]Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto:
Guided Recommendation for Model Fine-Tuning. CVPR 2023: 3633-3642 - [c246]Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani B. Srivastava, Alex Wong
:
Depth Estimation from Camera Image and mmWave Radar Point Cloud. CVPR 2023: 9275-9285 - [c245]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR 2023: 14984-14993 - [c244]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CVPR 2023: 15911-15921 - [c243]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR 2023: 24296-24305 - [c242]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR 2023 - [c241]Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto:
Harnessing Unrecognizable Faces for Improving Face Recognition. WACV 2023: 3413-3422 - [i147]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR abs/2302.07994 (2023) - [i146]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i145]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - [i144]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i143]Stephanie Tsuei, Wenjie Mo, Stefano Soatto:
Feature Tracks are not Zero-Mean Gaussian. CoRR abs/2303.14315 (2023) - [i142]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CoRR abs/2303.14333 (2023) - [i141]Stephanie Tsuei, Stefano Soatto:
Quantifying VIO Uncertainty. CoRR abs/2303.16386 (2023) - [i140]Dong Lao, Zhengyang Hu, Francesco Locatello, Yanchao Yang, Stefano Soatto:
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots. CoRR abs/2304.01430 (2023) - [i139]Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto:
AI Model Disgorgement: Methods and Choices. CoRR abs/2304.03545 (2023) - [i138]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR abs/2304.07939 (2023) - [i137]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. CoRR abs/2304.13169 (2023) - [i136]Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto:
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR abs/2305.07019 (2023) - [i135]Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu:
Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR abs/2305.18449 (2023) - [i134]Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto:
Prompt Algebra for Task Composition. CoRR abs/2306.00310 (2023) - [i133]Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto:
Towards Visual Foundational Models of Physical Scenes. CoRR abs/2306.03727 (2023) - [i132]Tian Yu Liu, Stefano Soatto:
Tangent Model Composition for Ensembling and Continual Fine-tuning. CoRR abs/2307.08114 (2023) - [i131]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. CoRR abs/2307.08122 (2023) - [i130]Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Training Data Protection with Compositional Diffusion Models. CoRR abs/2308.01937 (2023) - [i129]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR abs/2308.12221 (2023) - [i128]Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto:
Sub-token ViT Embedding via Stochastic Resonance Transformers. CoRR abs/2310.03967 (2023) - [i127]Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR abs/2310.09739 (2023) - [i126]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. CoRR abs/2310.18348 (2023) - 2022
- [j66]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. 129: 108776 (2022) - [c240]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c239]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CVPR 2022: 8080-8090 - [c238]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CVPR 2022: 8366-8376 - [c237]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR 2022: 9357-9366 - [c236]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CVPR 2022: 9591-9600 - [c235]Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR 2022: 15159-15169 - [c234]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c233]Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi:
Not Just Streaks: Towards Ground Truth for Single Image Deraining. ECCV (7) 2022: 723-740 - [c232]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. ICLR 2022 - [c231]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [c230]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS 2022 - [i125]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i124]Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR abs/2202.12457 (2022) - [i123]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CoRR abs/2203.11481 (2022) - [i122]Dong Lao, Alex Wong, Stefano Soatto:
Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation? CoRR abs/2203.13987 (2022) - [i121]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR abs/2203.16089 (2022) - [i120]Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto:
Towards Differential Relational Privacy and its use in Question Answering. CoRR abs/2203.16701 (2022) - [i119]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i118]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CoRR abs/2203.16761 (2022) - [i117]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CoRR abs/2204.03634 (2022) - [i116]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i115]Shay Deutsch, Stefano Soatto:
Graph Spectral Embedding using the Geodesic Betweeness Centrality. CoRR abs/2205.03544 (2022) - [i114]Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto:
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR abs/2205.06265 (2022) - [i113]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. CoRR abs/2205.12239 (2022) - [i112]Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi:
Towards Ground Truth for Single Image Deraining. CoRR abs/2206.10779 (2022) - [i111]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR abs/2207.00581 (2022) - [i110]Alessandro Achille, Stefano Soatto:
On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR abs/2207.12186 (2022) - [i109]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR abs/2208.02131 (2022) - [i108]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i107]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR abs/2210.04643 (2022) - [i106]Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem:
Stain-invariant self supervised learning for histopathology image analysis. CoRR abs/2211.07590 (2022) - [i105]Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille:
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR abs/2211.13108 (2022) - 2021
- [j65]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Redundant Information Neural Estimation. Entropy 23(7): 922 (2021) - [j64]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks 139: 348-357 (2021) - [j63]Alex Wong, Safa Cicek, Stefano Soatto:
Learning Topology From Synthetic Data for Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6(2): 1495-1502 (2021) - [j62]Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto:
An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6(2): 3120-3127 (2021) - [j61]Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. IEEE Robotics Autom. Lett. 6(4): 8086-8093 (2021) - [c229]Alex Wong, Mukund Mundhra, Stefano Soatto:
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. AAAI 2021: 2879-2888 - [c228]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. AAAI 2021: 8680-8687 - [c227]Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. ACL/IJCNLP (1) 2021: 6589-6602 - [c226]Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto:
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) 2021: 75-87 - [c225]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c224]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CVPR 2021: 792-801 - [c223]Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. CVPR 2021: 902-912 - [c222]Yanchao Yang, Brian Lai, Stefano Soatto:
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. CVPR 2021: 2826-2836 - [c221]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-Aware Heterogeneous Visual Search. CVPR 2021: 10723-10732 - [c220]Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto:
Positive-Congruent Training: Towards Regression-Free Model Updates. CVPR 2021: 14299-14308 - [c219]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CVPR 2021: 15729-15739 - [c218]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV 2021: 3447-3457 - [c217]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV 2021: 3530-3539 - [c216]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. ICCV 2021: 11026-11036 - [c215]Alex Wong, Stefano Soatto:
Unsupervised Depth Completion with Calibrated Backprojection Layers. ICCV 2021: 12727-12736 - [c214]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. ICLR 2021 - [c213]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. ICLR 2021 - [c212]Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam:
Learned Uncertainty Calibration for Visual Inertial Localization. ICRA 2021: 5311-5317 - [c211]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [c210]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. NeurIPS 2021: 1481-1493 - [i104]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. CoRR abs/2101.05779 (2021) - [i103]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. CoRR abs/2101.06640 (2021) - [i102]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i101]Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. CoRR abs/2101.11058 (2021) - [i100]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i99]Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. CoRR abs/2104.09762 (2021) - [i98]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR abs/2105.02170 (2021) - [i97]Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. CoRR abs/2105.03048 (2021) - [i96]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. CoRR abs/2105.06047 (2021) - [i95]Alex Wong, Safa Cicek, Stefano Soatto:
Learning Topology from Synthetic Data for Unsupervised Depth Completion. CoRR abs/2106.02994 (2021) - [i94]Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto:
An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR abs/2106.03010 (2021) - [i93]Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto:
Harnessing Unrecognizable Faces for Face Recognition. CoRR abs/2106.04112 (2021) - [i92]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. CoRR abs/2106.08505 (2021) - [i91]Stephanie Tsuei, Aditya Golatkar, Stefano Soatto:
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. CoRR abs/2106.13870 (2021) - [i90]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. CoRR abs/2107.01319 (2021) - [i89]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - [i88]Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. CoRR abs/2107.08039 (2021) - [i87]Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. CoRR abs/2108.01262 (2021) - [i86]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. CoRR abs/2108.01662 (2021) - [i85]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. CoRR abs/2108.07845 (2021) - [i84]Alex Wong, Stefano Soatto:
Unsupervised Depth Completion with Calibrated Backprojection Layers. CoRR abs/2108.10531 (2021) - [i83]Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto:
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. CoRR abs/2109.08791 (2021) - [i82]Stephanie Tsuei, Stefano Soatto, Paulo Tabuada, Mark B. Milam:
Learned Uncertainty Calibration for Visual Inertial Localization. CoRR abs/2110.02136 (2021) - [i81]