202 citations · 232 across the 25 of their papers we have counts for
9 papers · 1 filter
HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving
Zhongyu Xia, Zhiwei Lin, Yongtao Wang +1
Three-dimensional feature extraction and multi-task perception are fundamental components of modern autonomous driving systems. Although large image encoders, high-resolution input…
CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
Zhe Li, Zhiwei Lin, Yongtao Wang
The integration of Large Language Models (LLMs) with Neural Architecture Search (NAS) has introduced new possibilities for automating the design of neural architectures. However, m…
Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection
Zhiwei Lin, Weicheng Zheng, Yongtao Wang
Detecting objects efficiently from radar sensors has recently become a popular trend due to their robustness against adverse lighting and weather conditions compared with cameras.…
SAR-NAS: Lightweight SAR Object Detection with Neural Architecture Search
Xinyi Yu, Zhiwei Lin, Yongtao Wang
Synthetic Aperture Radar (SAR) object detection faces significant challenges from speckle noise, small target ambiguities, and on-board computational constraints. While existing ap…
PTQAT: A Hybrid Parameter-Efficient Quantization Algorithm for 3D Perception Tasks
Xinhao Wang, Zhiwei Lin, Zhongyu Xia +1
Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) represent two mainstream model quantization approaches. However, PTQ often leads to unacceptable performance…
RegCL: Compact Continual SAM Adaptation for Visual Grounding in Multi-Sensorial Media
Yuan-Chen Shu, Zhiwei Lin, Xiaoyu Zhou +1
Multi-sensorial media systems, including AR/VR, remote operation, and embodied AI, require visual grounding modules that remain reliable as sensing environments and application dom…
RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback
Junyang Shu, Zhiwei Lin, Yongtao Wang
Vision-Language-Action (VLA) models have demonstrated significant potential in the field of embodied intelligence, enabling agents to follow human instructions to complete complex…
VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
Zhiwei Lin, Yongtao Wang
Current perception models have achieved remarkable success by leveraging large-scale labeled datasets, but still face challenges in open-world environments with novel objects. To a…
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Jingtong Yue, Zhiwei Lin, Xin Lin +5
While recent low-cost radar-camera approaches have shown promising results in multi-modal 3D object detection, both sensors face challenges from environmental and intrinsic disturb…