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08/13/2020
What Should Not Be Contrastive in Contrastive Learning
Recent self-supervised contrastive methods have been able to produce imp...
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08/05/2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Learning long-term dynamics models is the key to understanding physical ...
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07/08/2020
Self-Supervised Policy Adaptation during Deployment
In most real world scenarios, a policy trained by reinforcement learning...
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06/30/2020
Deep Isometric Learning for Visual Recognition
Initialization, normalization, and skip connections are believed to be t...
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06/27/2020
Compositional Video Synthesis with Action Graphs
Videos of actions are complex spatio-temporal signals, containing rich c...
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06/09/2020
Reducing Class Collapse in Metric Learning with Easy Positive Sampling
Metric learning seeks perceptual embeddings where visually similar insta...
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04/07/2020
State-Only Imitation Learning for Dexterous Manipulation
Dexterous manipulation has been a long-standing challenge in robotics. R...
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03/30/2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-task learning is a very challenging problem in reinforcement learn...
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03/23/2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
In multi-agent games, the complexity of the environment can grow exponen...
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03/09/2020
A New Meta-Baseline for Few-Shot Learning
Meta-learning has become a popular framework for few-shot learning in re...
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12/20/2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
Human action is naturally compositional: humans can easily recognize and...
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09/29/2019
Test-Time Training for Out-of-Distribution Generalization
We introduce a general approach, called test-time training, for improvin...
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09/26/2019
Joint-task Self-supervised Learning for Temporal Correspondence
This paper proposes to learn reliable dense correspondence from videos i...
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03/18/2019
Learning Correspondence from the Cycle-Consistency of Time
We introduce a self-supervised method for learning visual correspondence...
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03/13/2019
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Affordance modeling plays an important role in visual understanding. In ...
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10/15/2018
Visual Semantic Navigation using Scene Priors
How do humans navigate to target objects in novel scenes? Do we use the ...
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08/29/2018
Interpretable Intuitive Physics Model
Humans have a remarkable ability to use physical commonsense and predict...
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06/05/2018
Videos as Space-Time Region Graphs
How do humans recognize the action "opening a book" ? We argue that ther...
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04/09/2018
Binge Watching: Scaling Affordance Learning from Sitcoms
In recent years, there has been a renewed interest in jointly modeling p...
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03/26/2018
3D Human Pose Estimation in the Wild by Adversarial Learning
Recently, remarkable advances have been achieved in 3D human pose estima...
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03/21/2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
We consider the problem of zero-shot recognition: learning a visual clas...
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11/21/2017
Non-local Neural Networks
Both convolutional and recurrent operations are building blocks that pro...
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08/09/2017
Transitive Invariance for Self-supervised Visual Representation Learning
Learning visual representations with self-supervised learning has become...
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08/02/2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
In this paper, we investigate a weakly-supervised object detection frame...
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04/11/2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
How do we learn an object detector that is invariant to occlusions and d...
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04/06/2016
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Computer vision has a great potential to help our daily lives by searchi...
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03/17/2016
Generative Image Modeling using Style and Structure Adversarial Networks
Current generative frameworks use end-to-end learning and generate image...
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12/02/2015
Actions Transformations
What defines an action like "kicking ball"? We argue that the true meani...
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05/05/2015
In Defense of the Direct Perception of Affordances
The field of functional recognition or affordance estimation from images...
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05/04/2015
Unsupervised Learning of Visual Representations using Videos
Is strong supervision necessary for learning a good visual representatio...
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02/03/2015
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection
This paper proposes a reconfigurable model to recognize and detect multi...
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02/03/2015
Deep Joint Task Learning for Generic Object Extraction
This paper investigates how to extract objects-of-interest without relyi...
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02/03/2015
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
This paper studies a novel discriminative part-based model to represent ...
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02/03/2015
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation
This paper proposes a simple yet effective method to learn the hierarchi...
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02/02/2015
An Expressive Deep Model for Human Action Parsing from A Single Image
This paper aims at one newly raising task in vision and multimedia resea...
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02/02/2015
Discriminatively Trained And-Or Graph Models for Object Shape Detection
In this paper, we investigate a novel reconfigurable part-based model, n...
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01/26/2015
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Human activity understanding with 3D/depth sensors has received increasi...
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11/18/2014
