Recent Publications

Deep Layer Aggregation

Deep Layer Aggregation

CVPR 2018 Oral We augment standard architectures with deeper aggregation to better fuse information across layers.

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Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation

NeurIPS 2021 Spotlight We propose Prototypical Cross-Attention Network (PCAN), capable of leveraging rich spatio-temporal information for online multiple object tracking and segmentation.

Robust Object Detection via Instance-Level Temporal Cycle Confusion

Robust Object Detection via Instance-Level Temporal Cycle Confusion

ICCV 2021 We study the effectiveness of auxiliary self-supervised tasks to improve the out-of-distribution generalization of object detectors.

Warp Consistency for Unsupervised Learning of Dense Correspondences

Warp Consistency for Unsupervised Learning of Dense Correspondences

ICCV 2021 Oral We propose Warp Consistency, an unsupervised learning objective for dense correspondence regression.

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

ICCV 2021 Oral We propose a pixel-wise contrastive algorithm for semantic segmentation in the fully supervised setting.

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

ICCV 2021 Oral We propose a deep reparametrization of the maximum a posteriori formulation commonly employed in multi-frame image restoration tasks.

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

ICCV 2021 We demonstrated that an RL coach (Roach) would be a better choice to supervise imitation learning agents.

Quasi-Dense Similarity Learning for Multiple Object Tracking

Quasi-Dense Similarity Learning for Multiple Object Tracking

CVPR 2021 Oral We propose a simple yet effective multi-object tracking method in this paper.

Instance-Aware Predictive Navigation in Multi-Agent Environments

Instance-Aware Predictive Navigation in Multi-Agent Environments

ICRA 2021 A new visual model-based RL method with consideration of multiple hypotheses for future object movement.

Dense Prediction with Attentive Feature Aggregation

Dense Prediction with Attentive Feature Aggregation

arXiv 2021 We propose Attentive Feature Aggregation (AFA) to exploit both spatial and channel information for semantic segmentation and boundary detection.