activity
20202026
most citedSafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

23 citations · 28 across the 9 of their papers we have counts for

collaborators

13 papers

cs.CV2026

COMPASS: Contextual Moment Prior Alignment for Generalizable AIGI Detection

Zhan Yang, Tiancheng Shen, Weijie Lyu +4

Generalizable AI-generated image (AIGI) and deepfake detection remain challenging due to the asymmetry phenomenon, where adaptation to limited training distributions can degrade th…

cs.CV2026

FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning

Weijie Lyu, Ming-Hsuan Yang, Zhixin Shu

We introduce FaceCam, a system that generates video under customizable camera trajectories for monocular human portrait video input. Recent camera control approaches based on large…

cs.CV2025

Edit3r: Instant 3D Scene Editing from Sparse Unposed Images

Jiageng Liu, Weijie Lyu, Xueting Li +2

We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. Unlike prior methods…

cs.CL2025

Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection

Weijie Lyu, Sheng-Jun Huang, Xuan Xia

Recent advancements in large language models (LLMs) have significantly improved code generation and program comprehension, accelerating the evolution of software engineering. Curre…

cs.CV2025

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis

Xiaoyuan Wang, Yizhou Zhao, Botao Ye +6

We propose HoliGS, a novel deformable Gaussian splatting framework that addresses embodied view synthesis from long monocular RGB videos. Unlike prior 4D Gaussian splatting and dyn…

cs.CV2025

InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model

Junqi You, Chieh Hubert Lin, Weijie Lyu +2

Recent advances in 3D scene reconstruction enable real-time viewing in virtual and augmented reality. To support interactive operations for better immersiveness, such as moving or…

cs.CV2024

FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads

Weijie Lyu, Yi Zhou, Ming-Hsuan Yang +1

We present FaceLift, a novel feed-forward approach for generalizable high-quality 360-degree 3D head reconstruction from a single image. Our pipeline first employs a multi-view lat…

cs.CV2024

Gaga: Group Any Gaussians via 3D-aware Memory Bank

Weijie Lyu, Xueting Li, Abhijit Kundu +2

We introduce Gaga, a framework that reconstructs and segments open-world 3D scenes by leveraging inconsistent 2D masks predicted by zero-shot class-agnostic segmentation models. Co…

cs.CV2023★ 3 cited

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang +1

Recent temporal LiDAR-based 3D object detectors achieve promising performance based on the two-stage proposal-based approach. They generate 3D box candidates from the first-stage d…

cs.CV2023★ 1 cited

Consistent Multimodal Generation via A Unified GAN Framework

Zhen Zhu, Yijun Li, Weijie Lyu +4

We investigate how to generate multimodal image outputs, such as RGB, depth, and surface normals, with a single generative model. The challenge is to produce outputs that are reali…

cs.CV2023★ 1 cited

Continual Learning in Open-vocabulary Classification with Complementary Memory Systems

Zhen Zhu, Weijie Lyu, Yao Xiao +1

We introduce a method for flexible and efficient continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in…

cs.RO2022★ 23 cited

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

Chejian Xu, Wenhao Ding, Weijie Lyu +6

As shown by recent studies, machine intelligence-enabled systems are vulnerable to test cases resulting from either adversarial manipulation or natural distribution shifts. This ha…

cs.RO2020

CircuitBot: Learning to Survive with Robotic Circuit Drawing

Xianglong Tan, Weijie Lyu, Andre Rosendo

Robots with the ability to actively acquire power from surroundings will be greatly beneficial for long-term autonomy, and to survive in dynamic, uncertain environments. In this wo…