Search Results for author:
Found 7 papers, 5 papers with code
Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
We introduce two auxiliary training tasks (Temporal Instance Denoising and Quality Estimation) and propose decoupled attention to make structural improvements, leading to significant enhancements in detection performance.
Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
Firstly, it reduces the computational complexity of temporal fusion from $O(T)$ to $O(1)$, resulting in significant improvements in inference speed and memory usage.
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Bird-eye-view (BEV) based methods have made great progress recently in multi-view 3D detection task.
Ranked #10 on
Robust Camera Only 3D Object Detection
on nuScenes-C
HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation
As a critical cue for understanding human intention, human gaze provides a key signal for Human-Computer Interaction(HCI) applications.
Gaussian Vector: An Efficient Solution for Facial Landmark Detection
Significant progress has been made in facial landmark detection with the development of Convolutional Neural Networks.
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
To improve the discriminative and generalization ability of lightweight network for face recognition, we propose an efficient variable group convolutional network called VarGFaceNet.
Ranked #3 on
Face Verification
on CFP-FP
Conditional Random Fields as Recurrent Neural Networks
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding.
Ranked #36 on
Semantic Segmentation
on PASCAL VOC 2012 test
