activity
20242026
most citedOPUS: Occupancy Prediction Using a Sparse Set

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection

Zhiwei Ning, Xuanang Gao, Jiaxi Cao +5

Linear modeling methods like Mamba have been merged as the effective backbone for the 3D object detection task. However, previous Mamba-based methods utilize the bidirectional enco…

cs.CV2025

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text

Bingchao Wang, Zhiwei Ning, Jianyu Ding +5

CLIP has shown promising performance across many short-text tasks in a zero-shot manner. However, limited by the input length of the text encoder, CLIP struggles on under-stream ta…

cs.CV2025

Efficient 4D Gaussian Stream with Low Rank Adaptation

Zhenhuan Liu, Shuai Liu, Yidong Lu +3

Recent methods have made significant progress in synthesizing novel views with long video sequences. This paper proposes a highly scalable method for dynamic novel view synthesis w…

cs.CV20241 cited

OPUS: Occupancy Prediction Using a Sparse Set

Jiabao Wang, Zhaojiang Liu, Qiang Meng +6

Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occ…

cs.CV2024

CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes

Zhenhuan Liu, Shuai Liu, Zhiwei Ning +4

Novel view synthesis (NVS) in dynamic scenes faces persistent challenges in memory consumption, model complexity, training efficiency, and rendering quality. Offline methods offer…