activity
20172025
most citedJoint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

84 citations · 587 across the 66 of their papers we have counts for

collaborators

66 papers

cs.CV2025

ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model

Qingyao Xu, Ya Zhang, Yanfeng Wang +1

Comprehensive traffic scene understanding is a foundational capability for Intelligent Transportation Systems (ITS) underpinning applications such as traffic simulation. While Visi…

cs.CV2024

Audio-Visual Segmentation via Unlabeled Frame Exploitation

Jinxiang Liu, Yikun Liu, Fei Zhang +3

Audio-visual segmentation (AVS) aims to segment the sounding objects in video frames. Although great progress has been witnessed, we experimentally reveal that current methods reac…

cs.CV2024

Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation

Shiqi Peng, Bolin Lai, Guangyu Yao +4

Vertebral body (VB) segmentation is an important preliminary step towards medical visual diagnosis for spinal diseases. However, most previous works require pixel/voxel-wise strong…

cs.CV2023

Multi-Sentence Grounding for Long-term Instructional Video

Zeqian Li, Qirui Chen, Tengda Han +3

In this paper, we aim to establish an automatic, scalable pipeline for denoising the large-scale instructional dataset and construct a high-quality video-text dataset with multiple…

cs.CV2023★ 3 cited

AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation

Chaofan Ma, Yuhuan Yang, Chen Ju +3

Open-vocabulary semantic segmentation is a challenging task that requires segmenting novel object categories at inference time. Recent studies have explored vision-language pre-tra…

cs.CV2023★ 3 cited

Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays

Feng Hong, Tianjie Dai, Jiangchao Yao +2

Clinical classification of chest radiography is particularly challenging for standard machine learning algorithms due to its inherent long-tailed and multi-label nature. However, f…