23 citations · 55 across the 47 of their papers we have counts for
11 papers · 1 filter
Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
Peiliang Cai, Evelyn Zhang, Jiacheng Liu +8
Recent advances in autoregressive video diffusion have enabled sequential and streaming video generation. However, long-horizon generation requires increasingly large KV caches, ma…
Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models
Zhiqiang Wang, Dongrui Liu, Yan Li +4
Existing adversarial attacks on vision-language models (VLMs) can steer model outputs toward attacker-specified target responses, but their effectiveness often degrades when the sa…
MLP Can Be A Good Transformer Learner
Sihao Lin, Pumeng Lyu, Dongrui Liu +4
Self-attention mechanism is the key of the Transformer but often criticized for its computation demands. Previous token pruning works motivate their methods from the view of comput…
Self-Supervised Multi-Frame Neural Scene Flow
Dongrui Liu, Daqi Liu, Xueqian Li +5
Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown remarkable adaptability in the context of large out-of-distribution autonomous driving. Despite their su…
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework
Shaobo Wang, Xiangdong Zhang, Dongrui Liu +1
Batch Normalization (BN) has become an essential technique in contemporary neural network design, enhancing training stability. Specifically, BN employs centering and scaling opera…
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
Dongrui Liu, Chuanchuan Chen, Changqing Xu +2
As a fundamental yet challenging problem in intelligent transportation systems, point cloud registration attracts vast attention and has been attained with various deep learning-ba…
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Liang Pan, Tong Wu, Zhongang Cai +26
As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen, Qihan Ren, Dongrui Liu +1
In this paper, we evaluate the quality of knowledge representations encoded in deep neural networks (DNNs) for 3D point cloud processing. We propose a method to disentangle the ove…
Deep Models with Fusion Strategies for MVP Point Cloud Registration
Lifa Zhu, Changwei Lin, Dongrui Liu +2
The main goal of point cloud registration in Multi-View Partial (MVP) Challenge 2021 is to estimate a rigid transformation to align a point cloud pair. The pairs in this competitio…
Point Cloud Registration using Representative Overlapping Points
Lifa Zhu, Dongrui Liu, Changwei Lin +4
3D point cloud registration is a fundamental task in robotics and computer vision. Recently, many learning-based point cloud registration methods based on correspondences have emer…
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation
Dongrui Liu, Chuanchuan Chen, Changqing Xu +4
Point cloud recognition is an essential task in industrial robotics and autonomous driving. Recently, several point cloud processing models have achieved state-of-the-art performan…