| 2026 | WACV | CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting. | Yu-Jen Tseng, Chia-Hao Kao, Jing-Zhong Chen, Alessandro Gnutti, Shao-Yuan Lo, Yen-Yu Lin, Wen-Hsiao Peng |
| 2025 | CVPR | Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning. | Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo |
| 2025 | CVPR | Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models. | Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi |
| 2025 | ICCV | 2COOOL: 2nd Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving. | Ali K. AlShami, Ryan Rabinowitz, Maged Shoman, Jianwu Fang, Luks Picek, Shao-Yuan Lo, Steve Cruz, Khang Nhut Lam, Nachiket Kamod, Lei-Lei Li, Jugal Kalita, Terrance E. Boult |
| 2025 | ICLR | Bridging Compressed Image Latents and Multimodal Large Language Models. | Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi |
| 2025 | ICML | Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. | Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo |
| 2024 | AVSS | Adaptive Batch Normalization Networks for Adversarial Robustness. | Shao-Yuan Lo, Vishal M. Patel |
| 2024 | CVPR | Uncertainty-aware Action Decoupling Transformer for Action Anticipation. | Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji |
| 2024 | CVPR | Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. | Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee |
| 2024 | ECCV | Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models. | Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo |
| 2023 | CVPR | Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. | Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel |
| 2022 | ACCV | Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. | Shao-Yuan Lo, Vishal M. Patel |
| 2022 | IROS | Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. | Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo |
| 2021 | AVSS | MultAV: Multiplicative Adversarial Videos. | Shao-Yuan Lo, Vishal M. Patel |
| 2021 | ICIP | Error Diffusion Halftoning Against Adversarial Examples. | Shao-Yuan Lo, Vishal M. Patel |
| 2021 | ICIP | Overcomplete Representations Against Adversarial Videos. | Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel |
| 2019 | ICIP | Incorporating Luminance, Depth and Color Information by a Fusion-Based Network for Semantic Segmentation. | Shang-Wei Hung, Shao-Yuan Lo, Hsueh-Ming Hang |
| 2019 | MMSP | Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. | Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin |