Publications
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
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
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
CVPR 2022 We propose Probabilistic Warp Consistency, a weakly-supervised learning objective for semantic matching.
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
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
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
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
NeurIPS 2021 Spotlight We propose Prototypical Cross-Attention Network (PCAN), capable of leveraging rich spatio-temporal information for online multiple object tracking and segmentation.