Tsung-Han Wu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 44

Top Topics

Object Detection

Diffusion Models

Top Venues

Publications

Tsung-Lin Tsou, Tsung-Han Wu, Winston H. Hsu
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection. ICRA (2024)
Tsung-Han Wu, Ching Liang Yeh, Yi-Shan Huang, Shyh-Jye Jou
A 128 Gb/s LDPC Decoder Using Partial Syndrome-based Dynamic Decoding Scheme for Terahertz Wireless Multi-Media Networks. ISCAS (2024)
Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
AED: Adaptable Error Detection for Few-shot Imitation Policy. CoRR (2024)
Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan
Visual Haystacks: Answering Harder Questions About Sets of Images. CoRR (2024)
Henry Lopez Davila, Tsung-Han Wu, Shyh-Jye Jou, Sau-Gee Chen, Pei-Yun Tsai
Low Routing Complexity Multiframe Pipelined LDPC Decoder Based on a Novel Pseudo Marginalized Min-Sum Algorithm for High Throughput Applications. IEEE Trans. Very Large Scale Integr. Syst. 31 (1) (2023)
Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell
Self-correcting LLM-controlled Diffusion Models. CoRR (2023)
Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth. CoRL (2023)
Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu
Fair Robust Active Learning by Joint Inconsistency. ICCV (Workshops) (2023)
Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR (2023)
Ching-Yu Tseng, Yi-Rong Chen, Hsin-Ying Lee, Tsung-Han Wu, Wen-Chin Chen, Winston H. Hsu
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection. ICRA (2023)
Yi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh, Wen-Chin Chen, Winston H. Hsu
MuRAL: Multi-Scale Region-based Active Learning for Object Detection. CoRR (2023)
Tsung-Lin Tsou, Tsung-Han Wu, Winston H. Hsu
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection. CoRR (2023)
Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Winston H. Hsu
ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation. CoRR (2022)
Kuan-Chih Huang, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer. CVPR (2022)
Ru-Fen Jheng, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu
Free-form 3D Scene Inpainting with Dual-stream GAN. CoRR (2022)
Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu
$\mathrm {D^2ADA}$: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation. ECCV (24) (2022)
Ching-Yu Tseng, Yi-Rong Chen, Hsin-Ying Lee, Tsung-Han Wu, Wen-Chin Chen, Winston H. Hsu
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection. CoRR (2022)
Hsin-Ying Lee, Hung-Ting Su, Bing-Chen Tsai, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling. BMVC (2022)
Kuan-Chih Huang, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer. CoRR (2022)
Hsin-Ying Lee, Hung-Ting Su, Bing-Chen Tsai, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling. CoRR (2022)
Ru-Fen Jheng, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu
Free-form 3D Scene Inpainting with Dual-stream GAN. BMVC (2022)
Tsung-Han Wu, Shang-Tse Chen, Winston H. Hsu
Fair Robust Active Learning by Joint Inconsistency. CoRR (2022)
Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. ICCV (2021)
Po-Han Chi, Pei-Hung Chung, Tsung-Han Wu, Chun-Cheng Hsieh, Yen-Hao Chen, Shang-Wen Li, Hung-yi Lee
Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation. SLT (2021)
Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. CVPR (2021)
Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. CoRR (2021)
Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
: Learnable Sparse Signal Superdensity for Guided Depth Estimation. CoRR (2021)
Yen-Hao Chen, Da-Yi Wu, Tsung-Han Wu, Hung-yi Lee
Again-VC: A One-Shot Voice Conversion Using Activation Guidance and Adaptive Instance Normalization. ICASSP (2021)
Guan-Rong Lu, Yueh-Cheng Liu, Tung-I Chen, Hung-Ting Su, Tsung-Han Wu, Winston H. Hsu
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data. CoRR (2021)
Wei-Tsung Kao, Tsung-Han Wu, Po-Han Chi, Chun-Cheng Hsieh, Hung-yi Lee
Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT. CoRR (2020)
Yen-Hao Chen, Da-Yi Wu, Tsung-Han Wu, Hung-yi Lee
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization. CoRR (2020)
Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu
Expanding Sparse Guidance for Stereo Matching. CoRR (2020)
Tsung-Han Wu, Chun-Cheng Hsieh, Yen-Hao Chen, Po-Han Chi, Hung-yi Lee
Hand-crafted Attention is All You Need? A Study of Attention on Self-supervised Audio Transformer. CoRR (2020)
Po-Han Chi, Pei-Hung Chung, Tsung-Han Wu, Chun-Cheng Hsieh, Shang-wen Li, Hung-yi Lee
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation. CoRR (2020)
Lan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Yu-Chi Lin
An Intelligent Elevator Development and Management System. IEEE Syst. J. 14 (2) (2020)
Lan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Tzu-Hsiang Chao
Green Elevator Scheduling Based on IoT Communications. IEEE Access 8 (2020)
Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu
Indoor Depth Completion with Boundary Consistency and Self-Attention. ICCV Workshops (2019)
Lan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Yun-Wei Lin, Syuan-Ru Peng, Lin-Hang Kao, Chun-Hao Chang
PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box. Sensors 19 (8) (2019)
Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu
Indoor Depth Completion with Boundary Consistency and Self-Attention. CoRR (2019)
Jen-Hao Kuo, Tsung-Han Wu, Hong-Bao Ye, Hewijin Christine Jiau
A competitive platform for continuous programming skill enhancement. CASCON (2018)
Tsung-Han Wu, Chun-Hao Chang, Yun-Wei Lin, Lan-Da Van, Yi-Bing Lin
Intelligent Plant Care Hydroponic Box Using IoTtalk. iThings/GreenCom/CPSCom/SmartData (2016)
Pei-I Tsai, Ching-Chi Hsu, San-Yuan Chen, Tsung-Han Wu, Chih-Chieh Huang
Biomechanical investigation into the structural design of porous additive manufactured cages using numerical and experimental approaches. Comput. Biol. Medicine 76 (2016)
Chun-Jen Tsai, Tsung-Han Wu, Hung-Cheng Su
JAIP-MP: A four-core Java application processor. VLSI-SoC (2015)
Chun-Jen Tsai, Tsung-Han Wu, Hung-Cheng Su, Cheng-Yang Chen
JAIP-MP: A Four-Core Java Application Processor for Embedded Systems. VLSI-SoC (Selected Papers) (2015)
Hung-Cheng Su, Tsung-Han Wu, Chun-Jen Tsai
Temporal multithreading architecture design for a Java processor. ISCAS (2014)
Ming-Fong Tsai, Chih-Heng Ke, Tsung-Han Wu, Ce-Kuen Shieh, Wen-Shyang Hwang
Burst-Aware Adaptive Forward Error Correction in Video Streaming over Wireless Networks. HPCC (2008)