Publications
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
ICCV 2021 Oral We propose Warp Consistency, an unsupervised learning objective for dense correspondence regression.
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
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
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
CVPR 2021 Oral We propose a simple yet effective multi-object tracking method in this paper.
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
arXiv 2021 We propose Attentive Feature Aggregation (AFA) to exploit both spatial and channel information for semantic segmentation and boundary detection.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
CVPR 2020 Oral The largest driving video dataset for heterogeneous multitask learning.