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ORCIDStefano Soatto
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2024
[c269]Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto:
On the Scalability of Diffusion-based Text-to-Image Generation. CVPR 2024: 9400-9409- [c268]Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong:
WorDepth: Variational Language Prior for Monocular Depth Estimation. CVPR 2024: 9708-9719 - [c267]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CVPR 2024: 11062-11071 - [c266]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CVPR 2024: 12374-12384 - [c265]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto:
Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR 2024: 13480-13491 - [c264]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CVPR 2024: 13603-13612 - [c263]Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Multi-Modal Hallucination Control by Visual Information Grounding. CVPR 2024: 14303-14312 - [c262]Dong Lao, Congli Wang, Alex Wong, Stefano Soatto:
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. CVPR 2024: 25107-25116 - [c261]Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto:
THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models. CVPR 2024: 27218-27228 - [c260]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR 2024 - [c259]Tian Yu Liu, Aditya Golatkar, Stefano Soatto:
Tangent Transformers for Composition, Privacy and Removal. ICLR 2024 - [c258]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. ICLR 2024 - [c257]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. ICML 2024 - [c256]Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto:
Sub-token ViT Embedding via Stochastic Resonance Transformers. ICML 2024 - [i169]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR abs/2402.08919 (2024) - [i168]Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, CJ Taylor, Paolo Favaro, Stefano Soatto:
A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. CoRR abs/2402.18780 (2024) - [i167]Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto:
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR abs/2403.02249 (2024) - [i166]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto:
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR abs/2403.03346 (2024) - [i165]Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, Stefano Soatto:
Fast Sparse View Guided NeRF Update for Object Reconfigurations. CoRR abs/2403.11024 (2024) - [i164]Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Multi-Modal Hallucination Control by Visual Information Grounding. CoRR abs/2403.14003 (2024) - [i163]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR abs/2403.18920 (2024) - [i162]Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada:
Heat Death of Generative Models in Closed-Loop Learning. CoRR abs/2404.02325 (2024) - [i161]Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto:
On the Scalability of Diffusion-based Text-to-Image Generation. CoRR abs/2404.02883 (2024) - [i160]Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong:
WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR abs/2404.03635 (2024) - [i159]Pei Wang, Zhaowei Cai, Hao Yang, Ashwin Swaminathan, R. Manmatha, Stefano Soatto:
Mixed-Query Transformer: A Unified Image Segmentation Architecture. CoRR abs/2404.04469 (2024) - [i158]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. CoRR abs/2404.10830 (2024) - [i157]Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto:
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. CoRR abs/2404.18065 (2024) - [i156]Benet Oriol Sabat, Alessandro Achille, Matthew Trager, Stefano Soatto:
NeRF-Insert: 3D Local Editing with Multimodal Control Signals. CoRR abs/2404.19204 (2024) - [i155]Dong Lao, Congli Wang, Alex Wong, Stefano Soatto:
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. CoRR abs/2405.03662 (2024) - [i154]Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto:
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models. CoRR abs/2405.05256 (2024) - [i153]Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada:
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR abs/2405.14061 (2024) - [i152]Evan Becker, Stefano Soatto:
Cycles of Thought: Measuring LLM Confidence through Stable Explanations. CoRR abs/2406.03441 (2024) - [i151]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR abs/2406.08431 (2024) - [i150]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR abs/2407.06324 (2024) - [i149]Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR abs/2407.08934 (2024) - [i148]Chaofan Tao, Gukyeong Kwon, Varad Gunjal, Hao Yang, Zhaowei Cai, Yonatan Dukler, Ashwin Swaminathan, R. Manmatha, Colin J. Taylor, Stefano Soatto:
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. CoRR abs/2408.09511 (2024) - 2023
- [j67]Achuta Kadambi
, Celso de Melo, Cho-Jui Hsieh, Mani B. Srivastava, Stefano Soatto:
Incorporating physics into data-driven computer vision. Nat. Mac. Intell. 5(6): 572-580 (2023) - [c255]Shay Deutsch, Stefano Soatto:
Graph Spectral Embedding using the Geodesic Betweenness Centrality. AISTATS 2023: 10505-10519 - [c254]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 - [c253]Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto:
Guided Recommendation for Model Fine-Tuning. CVPR 2023: 3633-3642 - [c252]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 - [c251]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 - [c250]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CVPR 2023: 15911-15921 - [c249]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR 2023: 24296-24305 - [c248]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto:
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV 2023: 15349-15358 - [c247]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. ICCV 2023: 17062-17072 - [c246]Tian Yu Liu, Stefano Soatto:
Tangent Model Composition for Ensembling and Continual Fine-tuning. ICCV 2023: 18630-18640 - [c245]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR 2023 - [c244]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - [c243]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. NeurIPS 2023 - [c242]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. NeurIPS 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 Robo