2 citations · 3 across the 8 of their papers we have counts for
9 papers
DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement
Shubin Ma, Liang Zhao, Chuanye He +4
In recent years, multi-view clustering has attracted widespread research interest. However, due to limitations in data collection devices, data across different views often suffer…
SegMo: Segment-aligned Text to 3D Human Motion Generation
Bowen Dang, Lin Wu, Xiaohang Yang +2
Generating 3D human motions from textual descriptions is an important research problem with broad applications in video games, virtual reality, and augmented reality. Recent method…
Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
Mingyu Fu, Wei Suo, Ji Ma +3
Despite the great success of Large Vision Language Models (LVLMs), their high computational cost severely limits their broad applications. The computational cost of LVLMs mainly st…
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation
Qing Zhong, Peng-Tao Jiang, Wen Wang +3
Contemporary Video Instance Segmentation (VIS) methods typically adhere to a pre-train then fine-tune regime, where a segmentation model trained on images is fine-tuned on videos.…
Unlocking Generalization Power in LiDAR Point Cloud Registration
Zhenxuan Zeng, Qiao Wu, Xiyu Zhang +5
In real-world environments, a LiDAR point cloud registration method with robust generalization capabilities (across varying distances and datasets) is crucial for ensuring safety i…
Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
Wei Suo, Lijun Zhang, Mengyang Sun +3
Large Vision-Language Models (LVLMs) have obtained impressive performance in visual content understanding and multi-modal reasoning. Unfortunately, these large models suffer from s…
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements
Zhiyan Wang, Deyin Liu, Lin Yuanbo Wu +3
Semantic segmentation is a fundamental task in multimedia processing, which can be used for analyzing, understanding, editing contents of images and videos, among others. To accele…
Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
Wei Suo, Ji Ma, Mengyang Sun +3
Although Large Vision-Language Models (LVLMs) have achieved impressive results, their high computational costs pose a significant barrier to wide application. To enhance inference…
Asymmetric Cross-Scale Alignment for Text-Based Person Search
Zhong Ji, Junhua Hu, Deyin Liu +2
Text-based person search (TBPS) is of significant importance in intelligent surveillance, which aims to retrieve pedestrian images with high semantic relevance to a given text desc…