Kuan-Chieh Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Image Generation

Top Venues

Publications

Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. CoRR (2024)
Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) (2024)
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 (2024)
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
LOVM: Language-Only Vision Model Selection. CoRR (2023)
Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
Iterative Motion Editing with Natural Language. CoRR (2023)
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
LOVM: Language-Only Vision Model Selection. NeurIPS (2023)
James Burgess, Kuan-Chieh Wang, Serena Yeung
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. CoRR (2023)
Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang
Open World Object Detection in the Era of Foundation Models. CoRR (2023)
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)
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Generalizable Neural Fields as Partially Observed Neural Processes. ICCV (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. CoRR (2023)
Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
Generalizable Neural Fields as Partially Observed Neural Processes. CoRR (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. ICLR (2023)
Orr Zohar, Kuan-Chieh Wang, Serena Yeung
PROB: Probabilistic Objectness for Open World Object Detection. CVPR (2023)
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV (2022)
Orr Zohar, Kuan-Chieh Wang, Serena Yeung
PROB: Probabilistic Objectness for Open World Object Detection. CoRR (2022)
Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
Variational Model Inversion Attacks. CoRR (2022)
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR (2022)
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 (2022)
Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
Disentanglement and Generalization Under Correlation Shifts. CoLLAs (2022)
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR (2022)
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS (2021)
Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. AISTATS (2021)
Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
Disentanglement and Generalization Under Correlation Shifts. CoRR (2021)
Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
Variational Model Inversion Attacks. NeurIPS (2021)
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)
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)
Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
Understanding and mitigating exploding inverses in invertible neural networks. CoRR (2020)
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) (2020)
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 (2020)
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 (2020)
Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP (2019)
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 (2019)
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) (2019)
Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
Centroid-based deep metric learning for speaker recognition. CoRR (2019)
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 (2019)
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
Adversarial Distillation of Bayesian Neural Network Posteriors. ICML (2018)
Chyi-Ren Dow, Liang-Hsuan Lee, Ngo Huu Huy, Kuan-Chieh Wang
A Human Recognition System for Pedestrian Crosswalk. HCI (30) (2018)
Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
Neural Relational Inference for Interacting Systems. CoRR (2018)
Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
Neural Relational Inference for Interacting Systems. ICML (2018)
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
Adversarial Distillation of Bayesian Neural Network Posteriors. CoRR (2018)
Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
Dualing GANs. CoRR (2017)
Chyi-Ren Dow, Zhe-Rong Lin, Kuan-Chieh Wang
A Visualization System for Traffic Violation Using H2O Random Forests. HCI (30) (2017)
Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
Dualing GANs. NIPS (2017)
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) (2015)
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)
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)
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)
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. (10) (2010)
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)
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)