Recent Publications
Deep Layer Aggregation
CVPR 2018 Oral We augment standard architectures with deeper aggregation to better fuse information across layers.
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Mask Transfiner for High-Quality Instance Segmentation
arXiv 2021 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.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
CVPR 2020 Oral The largest driving video dataset for heterogeneous multitask learning.
Frustratingly Simple Few-Shot Object Detection
ICML 2020 State-of-the-art few-shot detection method with backpropagation learning.
Learning Saliency Propagation for Semi-Supervised Instance Segmentation
CVPR 2020 We propose a ShapeProp module to propagate information between object detection and segmentation supervisions for Semi-Supervised Instance Segmentation.
Joint Monocular 3D Vehicle Detection and Tracking
ICCV 2019 We propose a novel online framework for 3D vehicle detection and tracking from monocular videos.
Disentangling Propagation and Generation for Video Prediction
ICCV 2019 We describe a computational model for high-fidelity video prediction which disentangles motion-specific propagation from motion-agnostic generation.
Few Shot Object Detection via Feature Reweighting
ICCV 2019 We develop a few-shot object detector that can learn to detect novel objects from only a few annotated examples.
Deep Mixture of Experts via Shallow Embedding
UAI 2019 We explore a mixture of experts (MoE) approach to deep dynamic routing, which activates certain experts in the network on a per-example basis.
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
CVPR 2019 We propose Task-Aware Feature Embedding Networks (TAFE-Nets) to learn how to adapt the image representation to a new task in a meta learning fashion.