Qifeng Chen - Exploring Invertibility in Image Processing and Restoration
Vision & Graphics Seminar at MIT
Qifeng Chen - Exploring Invertibility in Image Processing and Restoration
52:55
Gerard Pons-Moll - Robust Neural Field Models, and Humans Interacting in the 3D World
Vision & Graphics Seminar at MIT
Gerard Pons-Moll - Robust Neural Field Models, and Humans Interacting in the 3D World
54:24
Moritz Böhle - B-cos networks: Alignment is All We Need for Interpretability
Vision & Graphics Seminar at MIT
Moritz Böhle - B-cos networks: Alignment is All We Need for Interpretability
41:52
Chen-Hsuan Lin - Learning 3D Registration and Reconstruction from the Visual World
Vision & Graphics Seminar at MIT
Chen-Hsuan Lin - Learning 3D Registration and Reconstruction from the Visual World
59:01
Zachary Teed - Optimization Inspired Neural Networks for Multiview 3D
Vision & Graphics Seminar at MIT
Zachary Teed - Optimization Inspired Neural Networks for Multiview 3D
58:51
Joao Carreira - More general perception
Vision & Graphics Seminar at MIT
Joao Carreira - More general perception
49:57
Silvia Sellán - A deep dive into Swept Volumes
Vision & Graphics Seminar at MIT
Silvia Sellán - A deep dive into Swept Volumes
1:04:40
Noah Snavely - On Reflection
Vision & Graphics Seminar at MIT
Noah Snavely - On Reflection
59:25
Hsueh-Ti Derek Liu - Towards Scalable Geometry Processing
Vision & Graphics Seminar at MIT
Hsueh-Ti Derek Liu - Towards Scalable Geometry Processing
1:03:45
Roumen Thijs - Portable Laser Cutting
Vision & Graphics Seminar at MIT
Roumen Thijs - Portable Laser Cutting
1:12:06
Xinshuo Weng - A Paradigm Shift for Perception and Prediction Pipeline in Autonomous Driving
Vision & Graphics Seminar at MIT
Xinshuo Weng - A Paradigm Shift for Perception and Prediction Pipeline in Autonomous Driving
51:14
Gedas Bertasius - Video Understanding with Modern Language Models
Vision & Graphics Seminar at MIT
Gedas Bertasius - Video Understanding with Modern Language Models
55:55
Chris Yu - Repulsive Curves
Vision & Graphics Seminar at MIT
Chris Yu - Repulsive Curves
53:34
Ayush Tewari - Self-Supervised 3D Digitization of Faces
Vision & Graphics Seminar at MIT
Ayush Tewari - Self-Supervised 3D Digitization of Faces
52:05
Dmitry Sokolov - How to compute locally invertible maps
Vision & Graphics Seminar at MIT
Dmitry Sokolov - How to compute locally invertible maps
56:16
Mengye Ren - Towards Continual and Compositional Few-shot Learning
Vision & Graphics Seminar at MIT
Mengye Ren - Towards Continual and Compositional Few-shot Learning
54:33
Katerina Fragkiadaki - 3D Vision with 3D View-Predictive Neural Scene representations
Vision & Graphics Seminar at MIT
Katerina Fragkiadaki - 3D Vision with 3D View-Predictive Neural Scene representations
54:28
Jon Barron - Understanding and Extending Neural Radiance Fields
Vision & Graphics Seminar at MIT
Jon Barron - Understanding and Extending Neural Radiance Fields
54:43
Bolei Zhou - Inverting Latent Space of GANs for Real Image Editings
Vision & Graphics Seminar at MIT
Bolei Zhou - Inverting Latent Space of GANs for Real Image Editings
52:33
Aditi Raghunathan - Surprises in the quest for robustness in ML
Vision & Graphics Seminar at MIT
Aditi Raghunathan - Surprises in the quest for robustness in ML
1:00:23
Amlan Kar - Learning to Create and Label Data
Vision & Graphics Seminar at MIT
Amlan Kar - Learning to Create and Label Data
56:47
Krishna Murthy - Building differentiable models of the 3D world
Vision & Graphics Seminar at MIT
Krishna Murthy - Building differentiable models of the 3D world
54:14
Spandan Madan - On the Capability of CNNs to Generalize to Unseen Category-Viewpoint Combinations
Vision & Graphics Seminar at MIT
Spandan Madan - On the Capability of CNNs to Generalize to Unseen Category-Viewpoint Combinations
49:31
Taesung Park - Machine Learning for Deep Image Manipulation
Vision & Graphics Seminar at MIT
Taesung Park - Machine Learning for Deep Image Manipulation
51:48
Dídac Surís - Learning the Predictability of the Future
Vision & Graphics Seminar at MIT
Dídac Surís - Learning the Predictability of the Future
57:03
Olga Russakovsky - Fairness in visual recognition
Vision & Graphics Seminar at MIT
Olga Russakovsky - Fairness in visual recognition
59:24
Philipp Krähenbühl - Point-based object detection
Vision & Graphics Seminar at MIT
Philipp Krähenbühl - Point-based object detection
1:02:40
Shubham Tulsiani - Self-supervised Reconstruction and Interaction
Vision & Graphics Seminar at MIT
Shubham Tulsiani - Self-supervised Reconstruction and Interaction
58:44
Devi Parikh - Some Vision + Language, more AI + Creativity
Vision & Graphics Seminar at MIT
Devi Parikh - Some Vision + Language, more AI + Creativity
58:56
Vittorio Ferrari - Recent research on 3D Deep Learning
Vision & Graphics Seminar at MIT
Vittorio Ferrari - Recent research on 3D Deep Learning
54:36
Yonglong Tian - Contrastive Learning: A General Self-supervised Learning Approach
Vision & Graphics Seminar at MIT
Yonglong Tian - Contrastive Learning: A General Self-supervised Learning Approach
59:18
Yuval Bahat - Explorable Super Resolution
Vision & Graphics Seminar at MIT
Yuval Bahat - Explorable Super Resolution
47:19
Matthias Niessner - Why Neural Rendering is Super Cool!
Vision & Graphics Seminar at MIT
Matthias Niessner - Why Neural Rendering is Super Cool!
1:03:18
Dima Damen - A fine(r)-grained perspective onto object interactions
Vision & Graphics Seminar at MIT
Dima Damen - A fine(r)-grained perspective onto object interactions
59:17
David Acuna - Overcoming Data Scarcity in Deep Learning
Vision & Graphics Seminar at MIT
David Acuna - Overcoming Data Scarcity in Deep Learning
46:38
Rohit Girdhar - Challenges in Video Understanding: Supervision, Biases and Temporal Reasoning
Vision & Graphics Seminar at MIT
Rohit Girdhar - Challenges in Video Understanding: Supervision, Biases and Temporal Reasoning
1:03:07
Chao-Yuan Wu - On Efficiently Modeling Videos
Vision & Graphics Seminar at MIT
Chao-Yuan Wu - On Efficiently Modeling Videos
52:53
Bharath Hariharan - Visual Learning with fewer labels
Vision & Graphics Seminar at MIT
Bharath Hariharan - Visual Learning with fewer labels
53:43
Andrew Ilyas - Statistical Bias in Dataset Replication
Vision & Graphics Seminar at MIT
Andrew Ilyas - Statistical Bias in Dataset Replication
1:06:36
Daniel Ritchie - Neuro Symbolic 3D Models: Hybrid Neural-Procedural 3D Shape Synthesis
Vision & Graphics Seminar at MIT
Daniel Ritchie - Neuro Symbolic 3D Models: Hybrid Neural-Procedural 3D Shape Synthesis
53:54
Jiayuan Mao - Neuro-Symbolic Frameworks for Visual Concept Learning and Language Acquisition
Vision & Graphics Seminar at MIT
Jiayuan Mao - Neuro-Symbolic Frameworks for Visual Concept Learning and Language Acquisition
1:05:29