7 citations · 7 across the 11 of their papers we have counts for
11 papers
PointLAM: Local Attentive Mamba for Efficient Point-based 3D Object Detection
Xuanming Shang, Weijia Zhang, Chao Ma
3D object detection from LiDAR point clouds faces a fundamental dilemma: voxel-based methods achieve efficiency at the cost of geometric quantization, while point-based methods pre…
ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image Editing
Yuehao Liu, Weijia Zhang, Xuanming Shang +4
State-of-the-art diffusion models often rely on parameter-efficient fine-tuning to perform specialized image editing tasks. However, real-world applications require continual adapt…
Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models
Yuehao Liu, Shanyan Guan, Weijia Zhang +4
Continual learning in multimodal large language models (MLLMs) aims to sequentially acquire knowledge while mitigating catastrophic forgetting, yet existing methods face inherent l…
Guiding a Diffusion Model by Swapping Its Tokens
Weijia Zhang, Yuehao Liu, Shanyan Guan +4
Classifier-Free Guidance (CFG) is a widely used inference-time technique to boost the image quality of diffusion models. Yet, its reliance on text conditions prevents its use in un…
Cross-Architecture Distillation Made Simple with Redundancy Suppression
Weijia Zhang, Yuehao Liu, Wu Ran +1
We describe a simple method for cross-architecture knowledge distillation, where the knowledge transfer is cast into a redundant information suppression formulation. Existing metho…
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long, Tingsong Jiang, Wen Yao +5
Tracking multiple objects in a continuous video stream is crucial for many computer vision tasks. It involves detecting and associating objects with their respective identities acr…
VRM: Knowledge Distillation via Virtual Relation Matching
Weijia Zhang, Fei Xie, Weidong Cai +1
Knowledge distillation (KD) aims to transfer the knowledge of a more capable yet cumbersome teacher model to a lightweight student model. In recent years, relation-based KD methods…
Cross-View Consistency Regularisation for Knowledge Distillation
Weijia Zhang, Dongnan Liu, Weidong Cai +1
Knowledge distillation (KD) is an established paradigm for transferring privileged knowledge from a cumbersome model to a lightweight and efficient one. In recent years, logit-base…
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
Fei Xie, Weijia Zhang, Zhongdao Wang +1
Recent advancements in State Space Models, notably Mamba, have demonstrated superior performance over the dominant Transformer models, particularly in reducing the computational co…
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
Xuejing Li, Weijia Zhang, Chao Ma
Few-shot point cloud 3D object detection (FS3D) aims to identify and localise objects of novel classes from point clouds, using knowledge learnt from annotated base classes and nov…
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
Weijia Zhang, Dongnan Liu, Chao Ma +1
Monocular 3D object detection (M3OD) is a significant yet inherently challenging task in autonomous driving due to absence of explicit depth cues in a single RGB image. In this pap…