activity
20192026
most citedCo-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction

38 citations · 56 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CV2025

FlashVGGT: Efficient and Scalable Visual Geometry Transformers with Compressed Descriptor Attention

Zipeng Wang, Dan Xu

3D reconstruction from multi-view images is a core challenge in computer vision. Recently, feed-forward methods have emerged as efficient and robust alternatives to traditional per…

cs.CV2025

PSTF-AttControl: Per-Subject-Tuning-Free Personalized Image Generation with Controllable Face Attributes

Xiang liu, Zhaoxiang Liu, Huan Hu +5

Recent advancements in personalized image generation have significantly improved facial identity preservation, particularly in fields such as entertainment and social media. Howeve…

cs.CL2025

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity

Ping Chen, Xiang Liu, Zhaoxiang Liu +7

With the rapid advancement of large language models (LLMs), natural language processing (NLP) has achieved remarkable progress. Nonetheless, significant challenges remain in handli…

cs.CV2025

HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis

Zipeng Wang, Dan Xu

Recently, 3D Gaussian Splatting (3DGS) has emerged as a powerful alternative to NeRF-based approaches, enabling real-time, high-quality novel view synthesis through explicit, optim…

cs.CV2025

VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence

Chenhui Qiang, Zhaoyang Wei, Xumeng Han +5

With the rapid development of MLLMs, evaluating their visual capabilities has become increasingly crucial. Current benchmarks primarily fall into two main types: basic perception b…

cs.AI2025★ 1 cited

Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis

Kaikai Zhao, Zhaoxiang Liu, Xuejiao Lei +12

DeepSeek-R1, known for its low training cost and exceptional reasoning capabilities, has achieved state-of-the-art performance on various benchmarks. However, detailed evaluations…