Shao-Yuan Lo - RankMe

52 papers A* 7A 1B 6C 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability. CoRR Yen-Ting Piao, Jay Chiehen Liao, Wei-Tang Chien, Toshiki Ogimoto, Shang-Tse Chen, Yun-Nung Chen, Chun-Yi Lee, Shao-Yuan Lo
2026	J	`jnl`	CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting. CoRR Yu-Jen Tseng, Chia-Hao Kao, Jing-Zhong Chen, Alessandro Gnutti, Shao-Yuan Lo, Yen-Yu Lin, Wen-Hsiao Peng
2025	J	`jnl`	2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving. CoRR Ali K. AlShami, Ryan Rabinowitz, Maged Shoman, Jianwu Fang, Lukás Picek, Shao-Yuan Lo, Steve Cruz, Khang Nhut Lam, Nachiket Kamod, Lei-Lei Li, Jugal Kalita, Terrance E. Boult
2025	—	`conf`	2COOOL: 2nd Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving. ICCVW Ali K. AlShami, Ryan Rabinowitz, Maged Shoman, Jianwu Fang, Lukás Picek, Shao-Yuan Lo, Steve Cruz, Khang Nhut Lam, Nachiket Kamod, Lei-Lei Li, Jugal Kalita, Terrance E. Boult
2025	A*	`conf`	Bridging Compressed Image Latents and Multimodal Large Language Models. ICLR Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi
2025	J	`jnl`	CBCT Reconstruction Using Single X-Ray Projection With Cycle-Domain Geometry-Integrated Denoising Diffusion Probabilistic Models. IEEE Trans. Medical Imaging Shaoyan Pan, Junbo Peng, Yuan Gao, Shao-Yuan Lo, Tianyu Luan, Junyuan Li, Tonghe Wang, Chih-Wei Chang, Zhen Tian, Xiaofeng Yang
2025	J	`jnl`	Egocentric and exocentric methods: A short survey. Comput. Vis. Image Underst. Anirudh Thatipelli, Shao-Yuan Lo, Amit K. Roy-Chowdhury
2025	A*	`conf`	Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning. CVPR Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo
2025	J	`jnl`	Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning. CoRR Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo
2025	A*	`conf`	Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. ICML Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo
2025	J	`jnl`	Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. CoRR Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo
2025	J	`jnl`	StimuVAR: Spatiotemporal Stimuli-Aware Video Affective Reasoning with Multimodal Large Language Models. Int. J. Comput. Vis. Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo
2025	A*	`conf`	Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models. CVPR Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi
2025	J	`jnl`	Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models. CoRR Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi
2024	B	`conf`	Adaptive Batch Normalization Networks for Adversarial Robustness. AVSS Shao-Yuan Lo, Vishal M. Patel
2024	J	`jnl`	Adaptive Batch Normalization Networks for Adversarial Robustness. CoRR Shao-Yuan Lo, Vishal M. Patel
2024	A*	`conf`	Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CVPR Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee
2024	J	`jnl`	Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CoRR Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee
2024	J	`jnl`	ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck. CoRR Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi
2024	J	`jnl`	Exocentric To Egocentric Transfer For Action Recognition: A Short Survey. CoRR Anirudh Thatipelli, Shao-Yuan Lo, Amit K. Roy-Chowdhury
2024	—	`conf`	Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models. ECCV (81) Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo
2024	J	`jnl`	Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models. CoRR Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo
2024	J	`jnl`	StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models. CoRR Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo
2024	A*	`conf`	Uncertainty-aware Action Decoupling Transformer for Action Anticipation. CVPR Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji
2023	J	`jnl`	Adversarially Robust One-Class Novelty Detection. IEEE Trans. Pattern Anal. Mach. Intell. Shao-Yuan Lo, Poojan Oza, Vishal M. Patel
2023	J	`jnl`	Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation. CoRR Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang
2023	B	`conf`	Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Image Processing Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang
2023	A*	`conf`	Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CVPR Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel
2023	J	`jnl`	Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CoRR Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel
2022	J	`jnl`	Defending Against Multiple and Unforeseen Adversarial Videos. IEEE Trans. Image Process. Shao-Yuan Lo, Vishal M. Patel
2022	—	`conf`	Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. ACCV (6) Shao-Yuan Lo, Vishal M. Patel
2022	J	`jnl`	Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. CoRR Shao-Yuan Lo, Vishal M. Patel
2022	A	`conf`	Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. IROS Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo
2022	J	`jnl`	Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. CoRR Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo
2021	J	`jnl`	Adversarially Robust One-class Novelty Detection. CoRR Shao-Yuan Lo, Poojan Oza, Vishal M. Patel
2021	B	`conf`	Error Diffusion Halftoning Against Adversarial Examples. ICIP Shao-Yuan Lo, Vishal M. Patel
2021	J	`jnl`	Error Diffusion Halftoning Against Adversarial Examples. CoRR Shao-Yuan Lo, Vishal M. Patel
2021	B	`conf`	MultAV: Multiplicative Adversarial Videos. AVSS Shao-Yuan Lo, Vishal M. Patel
2021	B	`conf`	Overcomplete Representations Against Adversarial Videos. ICIP Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
2020	J	`jnl`	Defending Against Multiple and Unforeseen Adversarial Videos. CoRR Shao-Yuan Lo, Vishal M. Patel
2020	J	`jnl`	MultAV: Multiplicative Adversarial Videos. CoRR Shao-Yuan Lo, Vishal M. Patel
2020	J	`jnl`	Overcomplete Representations Against Adversarial Videos. CoRR Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
2019	—	`conf`	Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. MMAsia Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2019	—	`conf`	Exploring Semantic Segmentation on the DCT Representation. MMAsia Shao-Yuan Lo, Hsueh-Ming Hang
2019	J	`jnl`	Exploring Semantic Segmentation on the DCT Representation. CoRR Shao-Yuan Lo, Hsueh-Ming Hang
2019	B	`conf`	Incorporating Luminance, Depth and Color Information by a Fusion-Based Network for Semantic Segmentation. ICIP Shang-Wei Hung, Shao-Yuan Lo, Hsueh-Ming Hang
2019	C	`conf`	Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. MMSP Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2019	J	`jnl`	Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. CoRR Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2018	J	`jnl`	Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. CoRR Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2018	—	`conf`	Efficient Road Lane Marking Detection with Deep Learning. DSP Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2018	J	`jnl`	Efficient Road Lane Marking Detection with Deep Learning. CoRR Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
2018	J	`jnl`	Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation. CoRR Shang-Wei Hung, Shao-Yuan Lo