Kuan-Chieh Wang

According to our database, Kuan-Chieh Wang authored at least 40 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Omni-ID: Holistic Identity Representation Designed for Generative Tasks.

Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman

CoRR, 2024

Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera.

Jaewoo Heo, Kuan-Chieh Wang, C. Karen Liu, Serena Yeung-Levy

CoRR, 2024

Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models.

Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy

CoRR, 2024

Interpreting the Weight Space of Customized Diffusion Models.

Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman

CoRR, 2024

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation.

Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Iterative Motion Editing with Natural Language.

Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

VIMI: Grounding Video Generation through Multi-modal Instruction.

Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models.

James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Open World Object Detection in the Era of Foundation Models.

Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang

CoRR, 2023

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models.

James Burgess, Kuan-Chieh Wang, Serena Yeung

CoRR, 2023

LOVM: Language-Only Vision Model Selection.

Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diagnosing and Rectifying Vision Models using Language.

Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generalizable Neural Fields as Partially Observed Neural Processes.

Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PROB: Probabilistic Objectness for Open World Object Detection.

Orr Zohar, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action.

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Disentanglement and Generalization Under Correlation Shifts.

Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge

Proceedings of the Conference on Lifelong Learning Agents, 2022

Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery.

Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung

Proceedings of the International Conference on 3D Vision, 2022

2021

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation.

Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Model Inversion Attacks.

Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks.

Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A crosswalk pedestrian recognition system by using deep learning and zebra-crossing recognition techniques.

Chyi-Ren Dow, Ngo Huu Huy, Liang-Hsuan Lee, Po-Yu Lai, Kuan-Chieh Wang, Van-Tung Bui

Softw. Pract. Exp., 2020

Flexible Few-Shot Learning with Contextual Similarity.

Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel

CoRR, 2020

Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling.

Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel

CoRR, 2020

Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling.

Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel

Proceedings of the 37th International Conference on Machine Learning, 2020

Your classifier is secretly an energy based model and you should treat it like one.

Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System.

Chung-Bin Wu, Li-Hung Wang, Kuan-Chieh Wang

IEEE Trans. Circuits Syst. Video Technol., 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

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

CoRR, 2019

Centroid-based Deep Metric Learning for Speaker Recognition.

Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Adversarial Distillation of Bayesian Neural Network Posteriors.

Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Relational Inference for Interacting Systems.

Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel

Proceedings of the 35th International Conference on Machine Learning, 2018

A Human Recognition System for Pedestrian Crosswalk.

Chyi-Ren Dow, Liang-Hsuan Lee, Ngo Huu Huy, Kuan-Chieh Wang

Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018

2017

Dualing GANs.

Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Visualization System for Traffic Violation Using H2O Random Forests.

Chyi-Ren Dow, Zhe-Rong Lin, Kuan-Chieh Wang

Proceedings of the HCI International 2017 - Posters' Extended Abstracts, 2017

2015

The Comparison of Solitary and Collaborative Modes of Game-based Learning on Students' Science Learning and Motivation.

Ching-Huei Chen, Kuan-Chieh Wang, Yu-Hsuan Lin

J. Educ. Technol. Soc., 2015

2014

Implementation of online query and navigation service for neighboring emergency departments.

Chao-Hsien Lee, Yu-Cheng Tsao, Chao-Wen Chen, Kuan-Chieh Wang

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2014

2011

Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing.

Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, Ching-Hsien Hsu

Proceedings of the Ubiquitous Intelligence and Computing - 8th International Conference, 2011

Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines.

Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, William Cheng-Chung Chu

Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

2010

A Multimode Shuffled Iterative Decoder Architecture for High-Rate RS-LDPC Codes.

Yeong-Luh Ueng, Chung-Jay Yang, Kuan-Chieh Wang, Chun-Jung Chen

IEEE Trans. Circuits Syst. I Regul. Pap., 2010

Implementation of a Medical Image File Accessing System on Cloud Computing.

Chao-Tung Yang, Lung-Teng Chen, Wei-Li Chou, Kuan-Chieh Wang

Proceedings of the 13th IEEE International Conference on Computational Science and Engineering, 2010

2009

QoS-Aware Power Management for Energy Harvesting Wireless Sensor Network Utilizing Reinforcement Learning.

Roy Chaoming Hsu, Cheng-Ting Liu, Kuan-Chieh Wang, Wei-Ming Lee

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009