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2020 – today
- 2024
[c26]James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy:
Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models. ECCV (64) 2024: 416-435- [c25]Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov:
VIMI: Grounding Video Generation through Multi-modal Instruction. EMNLP 2024: 4444-4456 - [c24]Purvi Goel
, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian:
Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) 2024: 71 - [i24]Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman:
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. CoRR abs/2404.11565 (2024) - [i23]Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman:
Interpreting the Weight Space of Customized Diffusion Models. CoRR abs/2406.09413 (2024) - [i22]Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy:
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. CoRR abs/2410.00309 (2024) - 2023
- [c23]Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. CVPR 2023: 11444-11453 - [c22]Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung:
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CVPR 2023: 22129-22138 - [c21]Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung:
Generalizable Neural Fields as Partially Observed Neural Processes. ICCV 2023: 5307-5316 - [c20]Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung:
Diagnosing and Rectifying Vision Models using Language. ICLR 2023 - [c19]Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung:
LOVM: Language-Only Vision Model Selection. NeurIPS 2023 - [i21]Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung:
Diagnosing and Rectifying Vision Models using Language. CoRR abs/2302.04269 (2023) - [i20]Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung:
LOVM: Language-Only Vision Model Selection. CoRR abs/2306.08893 (2023) - [i19]Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung:
Generalizable Neural Fields as Partially Observed Neural Processes. CoRR abs/2309.06660 (2023) - [i18]James Burgess, Kuan-Chieh Wang, Serena Yeung:
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. CoRR abs/2309.07986 (2023) - [i17]Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang:
Open World Object Detection in the Era of Foundation Models. CoRR abs/2312.05745 (2023) - [i16]Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian:
Iterative Motion Editing with Natural Language. CoRR abs/2312.11538 (2023) - 2022
- [c18]Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV 2022: 261-270 - [c17]Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge:
Disentanglement and Generalization Under Correlation Shifts. CoLLAs 2022: 116-141 - [i15]Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani:
Variational Model Inversion Attacks. CoRR abs/2201.10787 (2022) - [i14]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR abs/2201.11576 (2022) - [i13]Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR abs/2206.10457 (2022) - [i12]Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. CoRR abs/2212.01424 (2022) - [i11]Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung:
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CoRR abs/2212.13660 (2022) - 2021
- [c16]Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen:
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. AISTATS 2021: 1792-1800 - [c15]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS 2021: 6542-6554 - [c14]Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani:
Variational Model Inversion Attacks. NeurIPS 2021: 9706-9719 - [i10]Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge:
Disentanglement and Generalization Under Correlation Shifts. CoRR abs/2112.14754 (2021) - 2020
- [j4]Chyi-Ren Dow, Ngo Huu Huy, Liang-Hsuan Lee, Po-Yu Lai, Kuan-Chieh Wang, Van-Tung Bui:
A crosswalk pedestrian recognition system by using deep learning and zebra-crossing recognition techniques. Softw. Pract. Exp. 50(5): 630-644 (2020) - [c13]Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky:
Your classifier is secretly an energy based model and you should treat it like one. ICLR 2020 - [c12]Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel:
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling. ICML 2020: 3732-3747 - [i9]Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel:
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling. CoRR abs/2002.05616 (2020) - [i8]Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen:
Understanding and mitigating exploding inverses in invertible neural networks. CoRR abs/2006.09347 (2020) - [i7]Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel:
Flexible Few-Shot Learning with Contextual Similarity. CoRR abs/2012.05895 (2020)
2010 – 2019
- 2019
- [j3]Chung-Bin Wu, Li-Hung Wang, Kuan-Chieh Wang:
Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System. IEEE Trans. Circuits Syst. Video Technol. 29(2): 582-593 (2019) - [c11]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP 2019: 3652-3656 - [i6]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. CoRR abs/1902.02375 (2019) - [i5]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i4]Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky:
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One. CoRR abs/1912.03263 (2019) - 2018
- [c10]Chyi-Ren Dow, Liang-Hsuan Lee, Ngo Huu Huy, Kuan-Chieh Wang:
A Human Recognition System for Pedestrian Crosswalk. HCI (30) 2018: 443-447 - [c9]Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel:
Neural Relational Inference for Interacting Systems. ICML 2018: 2693-2702 - [c8]Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel:
Adversarial Distillation of Bayesian Neural Network Posteriors. ICML 2018: 5177-5186 - [i3]Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel:
Neural Relational Inference for Interacting Systems. CoRR abs/1802.04687 (2018) - [i2]Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel:
Adversarial Distillation of Bayesian Neural Network Posteriors. CoRR abs/1806.10317 (2018) - 2017
- [c7]Chyi-Ren Dow, Zhe-Rong Lin, Kuan-Chieh Wang:
A Visualization System for Traffic Violation Using H2O Random Forests. HCI (30) 2017: 550-554 - [c6]Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel:
Dualing GANs. NIPS 2017: 5606-5616 - [i1]Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel:
Dualing GANs. CoRR abs/1706.06216 (2017) - 2015
- [j2]Ching-Huei Chen, Kuan-Chieh Wang, Yu-Hsuan Lin:
The Comparison of Solitary and Collaborative Modes of Game-based Learning on Students' Science Learning and Motivation. J. Educ. Technol. Soc. 18(2): 237-248 (2015) - 2014
- [c5]Chao-Hsien Lee, Yu-Cheng Tsao, Chao-Wen Chen, Kuan-Chieh Wang:
Implementation of online query and navigation service for neighboring emergency departments. ICCE-TW 2014: 37-38 - 2011
- [c4]Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, William Cheng-Chung Chu:
Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines. HPCC 2011: 726-733 - [c3]Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, Ching-Hsien Hsu:
Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing. UIC 2011: 280-294 - 2010
- [j1]Yeong-Luh Ueng, Chung-Jay Yang, Kuan-Chieh Wang, Chun-Jung Chen:
A Multimode Shuffled Iterative Decoder Architecture for High-Rate RS-LDPC Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(10): 2790-2803 (2010) - [c2]Chao-Tung Yang, Lung-Teng Chen, Wei-Li Chou, Kuan-Chieh Wang:
Implementation of a Medical Image File Accessing System on Cloud Computing. CSE 2010: 321-326
2000 – 2009
- 2009
- [c1]Roy Chaoming Hsu, Cheng-Ting Liu, Kuan-Chieh Wang, Wei-Ming Lee:
QoS-Aware Power Management for Energy Harvesting Wireless Sensor Network Utilizing Reinforcement Learning. CSE (2) 2009: 537-542
Coauthor Index
aka: Serena Yeung
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