activity
20232026
most citedSM-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving

36 citations · 41 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CV2026

Binaural Audio-Visual Instance Segmentation

Saijun Wang, Guanfeng Tang, Hongbo Zhao +4

Audio-visual segmentation (AVS) aims to segment sounding objects at the pixel level by integrating auditory and visual cues. However, existing methods are predominantly developed u…

cs.CV2026

Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise

Wenxin Li, Kunyu Peng, Di Wen +6

3D semantic occupancy prediction is a cornerstone of robotic perception, yet real-world voxel annotations are inherently corrupted by structural artifacts and dynamic trailing effe…

cs.CV2026

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving

Kai Luo, Xu Wang, Rui Fan +1

Generalizing across unknown targets is critical for open-world perception, yet existing 3D Multi-Object Tracking (3D MOT) pipelines remain limited by closed-set assumptions and ``s…

cs.CV2026

Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks

Guanfeng Tang, Hongbo Zhao, Ziwei Long +5

Inspired by the human visual system, which operates on two parallel yet interactive streams for contextual and spatial understanding, this article presents Two Interactive Streams…

cs.CV2026

Rebenchmarking Unsupervised Monocular 3D Occupancy Prediction

Zizhan Guo, Yi Feng, Mengtan Zhang +3

Inferring the 3D structure from a single image, particularly in occluded regions, remains a fundamental yet unsolved challenge in vision-centric autonomous driving. Existing unsupe…