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06/14/2023
Generalizable One-shot Neural Head Avatar
We present a method that reconstructs and animates a 3D head avatar from...
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10/19/2021
Self-Supervised Object Detection via Generative Image Synthesis
We present SSOD, the first end-to-end analysis-by synthesis framework wi...
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04/06/2021
Contrastive Syn-to-Real Generalization
Training on synthetic data can be beneficial for label or data-scarce sc...
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04/01/2021
Learning to Track Instances without Video Annotations
Tracking segmentation masks of multiple instances has been intensively s...
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07/20/2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
One central question for video action recognition is how to model motion...
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04/13/2020
Regularizing Meta-Learning via Gradient Dropout
With the growing attention on learning-to-learn new tasks using only a f...
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04/03/2020
Self-Supervised Viewpoint Learning From Image Collections
Training deep neural networks to estimate the viewpoint of objects requi...
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03/13/2020
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
We learn a self-supervised, single-view 3D reconstruction model that pre...
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02/19/2020
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Weakly-supervised semantic segmentation is a challenging task as no pixe...
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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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09/25/2019
Learning Propagation for Arbitrarily-structured Data
Processing an input signal that contains arbitrary structures, e.g., sup...
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05/13/2019
Few-Shot Viewpoint Estimation
Viewpoint estimation for known categories of objects has been improved s...
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05/03/2019
SCOPS: Self-Supervised Co-Part Segmentation
Parts provide a good intermediate representation of objects that is robu...
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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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12/06/2018
Context-Aware Synthesis and Placement ofObject Instances
Learning to insert an object instance into an image in a semantically co...
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12/06/2018
Context-Aware Synthesis and Placement of Object Instances
Learning to insert an object instance into an image in a semantically co...
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08/14/2018
Learning Linear Transformations for Fast Arbitrary Style Transfer
Given a random pair of images, an arbitrary style transfer method extrac...
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05/14/2018
Learning Dual Convolutional Neural Networks for Low-Level Vision
In this paper, we propose a general dual convolutional neural network (D...
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04/23/2018
Switchable Temporal Propagation Network
Videos contain highly redundant information between frames. Such redunda...
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01/31/2018
Learning Video-Story Composition via Recurrent Neural Network
In this paper, we propose a learning-based method to compose a video-sto...
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10/03/2017
Learning Affinity via Spatial Propagation Networks
In this paper, we propose spatial propagation networks for learning the ...
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09/14/2017
Learning to Segment Instances in Videos with Spatial Propagation Network
We propose a deep learning-based framework for instance-level object seg...
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08/07/2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Despite rapid advances in face recognition, there remains a clear gap be...
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08/06/2017