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2020 – today
- 2025
[j4]Anirudh Thatipelli
, Shao-Yuan Lo, Amit K. Roy-Chowdhury:
Egocentric and exocentric methods: A short survey. Comput. Vis. Image Underst. 257: 104371 (2025)- [j3]Shaoyan Pan, Junbo Peng, Yuan Gao, Shao-Yuan Lo, Tianyu Luan, Junyuan Li, Tonghe Wang, Chih-Wei Chang, Zhen Tian, Xiaofeng Yang:
CBCT Reconstruction Using Single X-Ray Projection With Cycle-Domain Geometry-Integrated Denoising Diffusion Probabilistic Models. IEEE Trans. Medical Imaging 44(7): 2933-2947 (2025) - [c19]Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo:
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning. CVPR 2025: 14247-14256 - [c18]Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi:
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models. CVPR 2025: 20370-20382 - [c17]Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi:
Bridging Compressed Image Latents and Multimodal Large Language Models. ICLR 2025 - [i23]Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi:
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models. CoRR abs/2502.07601 (2025) - [i22]Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo:
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning. CoRR abs/2503.07591 (2025) - [i21]Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo:
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. CoRR abs/2506.01301 (2025) - 2024
- [c16]Shao-Yuan Lo, Vishal M. Patel:
Adaptive Batch Normalization Networks for Adversarial Robustness. AVSS 2024: 1-6 - [c15]Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee:
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CVPR 2024: 18580-18590 - [c14]Hongji Guo, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee, Qiang Ji:
Uncertainty-aware Action Decoupling Transformer for Action Anticipation. CVPR 2024: 18644-18654 - [c13]Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo:
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models. ECCV (81) 2024: 304-322 - [i20]Shao-Yuan Lo, Vishal M. Patel:
Adaptive Batch Normalization Networks for Adversarial Robustness. CoRR abs/2405.11708 (2024) - [i19]Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee:
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models. CoRR abs/2405.20305 (2024) - [i18]Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo:
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models. CoRR abs/2407.10299 (2024) - [i17]Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi:
ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck. CoRR abs/2407.19651 (2024) - [i16]Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo:
StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models. CoRR abs/2409.00304 (2024) - [i15]Anirudh Thatipelli, Shao-Yuan Lo, Amit K. Roy-Chowdhury:
Exocentric To Egocentric Transfer For Action Recognition: A Short Survey. CoRR abs/2410.20621 (2024) - 2023
- [j2]Shao-Yuan Lo, Poojan Oza, Vishal M. Patel:
Adversarially Robust One-Class Novelty Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4167-4179 (2023) - [c12]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CVPR 2023: 10534-10543 - [c11]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Image Processing 2023 - [i14]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation. CoRR abs/2302.13172 (2023) - [i13]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CoRR abs/2303.14361 (2023) - 2022
- [j1]Shao-Yuan Lo, Vishal M. Patel:
Defending Against Multiple and Unforeseen Adversarial Videos. IEEE Trans. Image Process. 31: 962-973 (2022) - [c10]Shao-Yuan Lo, Vishal M. Patel:
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. ACCV (6) 2022: 561-577 - [c9]Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo:
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. IROS 2022: 8376-8382 - [i12]Shao-Yuan Lo, Vishal M. Patel:
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. CoRR abs/2202.09300 (2022) - [i11]Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo:
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. CoRR abs/2208.00160 (2022) - 2021
- [c8]Shao-Yuan Lo, Vishal M. Patel:
MultAV: Multiplicative Adversarial Videos. AVSS 2021: 1-6 - [c7]Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. ICIP 2021: 1939-1943 - [c6]Shao-Yuan Lo, Vishal M. Patel:
Error Diffusion Halftoning Against Adversarial Examples. ICIP 2021: 3892-3896 - [i10]Shao-Yuan Lo, Vishal M. Patel:
Error Diffusion Halftoning Against Adversarial Examples. CoRR abs/2101.09451 (2021) - [i9]Shao-Yuan Lo, Poojan Oza, Vishal M. Patel:
Adversarially Robust One-class Novelty Detection. CoRR abs/2108.11168 (2021) - 2020
- [i8]Shao-Yuan Lo, Vishal M. Patel:
Defending Against Multiple and Unforeseen Adversarial Videos. CoRR abs/2009.05244 (2020) - [i7]Shao-Yuan Lo, Vishal M. Patel:
MultAV: Multiplicative Adversarial Videos. CoRR abs/2009.08058 (2020) - [i6]Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. CoRR abs/2012.04262 (2020)
2010 – 2019
- 2019
- [c5]Shang-Wei Hung, Shao-Yuan Lo, Hsueh-Ming Hang:
Incorporating Luminance, Depth and Color Information by a Fusion-Based Network for Semantic Segmentation. ICIP 2019: 2374-2378 - [c4]Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. MMAsia 2019: 1:1-1:6 - [c3]Shao-Yuan Lo, Hsueh-Ming Hang:
Exploring Semantic Segmentation on the DCT Representation. MMAsia 2019: 59:1-59:6 - [c2]Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. MMSP 2019: 1-6 - [i5]Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks. CoRR abs/1907.09438 (2019) - [i4]Shao-Yuan Lo, Hsueh-Ming Hang:
Exploring Semantic Segmentation on the DCT Representation. CoRR abs/1907.10015 (2019) - 2018
- [c1]Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Road Lane Marking Detection with Deep Learning. DSP 2018: 1-5 - [i3]Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Road Lane Marking Detection with Deep Learning. CoRR abs/1809.03994 (2018) - [i2]Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. CoRR abs/1809.06323 (2018) - [i1]Shang-Wei Hung, Shao-Yuan Lo:
Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation. CoRR abs/1809.09077 (2018)
Coauthor Index
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