activity
20192026
most citedILabel: Interactive Neural Scene Labelling

18 citations · 37 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CV2026

Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration

Xinghua Huang, Zhixiong Yang, Chen Wu +6

A fundamental difficulty in all-in-one blind image restoration is that degradation is usually treated as an implicit factor hidden in degraded-to-clean mapping, rather than as an e…

cs.CV2026

Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction

Zhenhua Du, Zhen Tan, Haoyu Zhang +3

While 3D Gaussian Splatting has achieved remarkable success in photorealistic novel view synthesis, its pursuit of fast and high-fidelity 3D reconstruction has long been constraine…

cs.CV2024

Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning

Huali Xu, Li Liu, Tianpeng Liu +3

Existing cross-domain few-shot learning (CDFSL) methods, which develop source-domain training strategies to enhance model transferability, face challenges with large-scale pre-trai…

cs.CV2024★ 1 cited

Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning

Huali Xu, Li Liu, Shuaifeng Zhi +4

Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due to increasing concerns about d…

cs.CV2023

ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion

Liu Liu, Shuaifeng Zhi, Zhenhua Du +4

Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Ra…

cs.CV2023

Unbiased Scene Graph Generation via Two-stage Causal Modeling

Shuzhou Sun, Shuaifeng Zhi, Qing Liao +2

Despite the impressive performance of recent unbiased Scene Graph Generation (SGG) methods, the current debiasing literature mainly focuses on the long-tailed distribution problem,…