Publications

Monocular Quasi-Dense 3D Object Tracking

Monocular Quasi-Dense 3D Object Tracking

TPAMI 2022 We combine quasi-dense tracking on 2D images and motion prediction in 3D space to achieve significant advance in 3D object tracking from monocular videos.

Mask Transfiner for High-Quality Instance Segmentation

Mask Transfiner for High-Quality Instance Segmentation

CVPR 2022 we present Mask Transfiner for high-quality and efficient instance segmentation, which predicts highly accurate instance masks at a low computational cost using quadtree transformer.

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

CVPR 2022 We introduce the largest synthetic dataset for autonomous driving to study continuous domain adaptation and multi-task perception.

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

CVPR 2022 We propose Probabilistic Warp Consistency, a weakly-supervised learning objective for semantic matching.

Transforming Model Prediction for Tracking

Transforming Model Prediction for Tracking

CVPR 2022 We propose a tracker architecture employing a Transformer-based model prediction module.

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

CVPR 2022 Our method exploits the low frequency of anomalies towards building a cross-supervision between a generator and a discriminator.

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

CVPR 2022 We propose a Denoising Diffusion Probabilistic Model (DDPM) based inpainting approach that is applicable to even extreme masks.

LiDAR Snowfall Simulation for Robust 3D Object Detection

LiDAR Snowfall Simulation for Robust 3D Object Detection

CVPR 2022 Oral We propose a physically based method to simulate the effect of snowfall on real clear weather LiDAR point clouds.

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.