Jianchao Tan

According to our database, Jianchao Tan authored at least 28 papers between 2015 and 2022.

Collaborative distances:

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

2022

PaletteNeRF: Palette-based Color Editing for NeRFs.

Qiling Wu, Jianchao Tan, Kun Xu

CoRR, 2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.

Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

CoRR, 2022

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction.

Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song

CoRR, 2022

Unified Visual Transformer Compression.

Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

CoRR, 2022

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation.

Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang

Proceedings of the Interspeech 2022, 2022

Conformer Space Neural Architecture Search for Multi-Task Audio Separation.

Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song

Proceedings of the Interspeech 2022, 2022

Unified Visual Transformer Compression.

Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Video recoloring via spatial-temporal geometric palettes.

Zhengjun Du, Kai-Xiang Lei, Kun Xu, Jianchao Tan, Yotam I. Gingold

ACM Trans. Graph., 2021

TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework.

Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu

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

UMEC: Unified model and embedding compression for efficient recommendation systems.

Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Hand Image Understanding via Deep Multi-Task Learning.

Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.

Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting.

Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation.

Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.

Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Learning Color Compatibility in Fashion Outfits.

Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C.-C. Jay Kuo

CoRR, 2020

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation.

Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren

CoRR, 2020

Hyperspectral Inverse Skinning.

Songrun Liu, Jianchao Tan, Zhigang Deng, Yotam I. Gingold

Comput. Graph. Forum, 2020

HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation.

Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards.

Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation.

Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Pigmento: Pigment-Based Image Analysis and Editing.

Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold

IEEE Trans. Vis. Comput. Graph., 2019

2018

Efficient palette-based decomposition and recoloring of images via RGBXY-space geometry.

Jianchao Tan, Jose I. Echevarria, Yotam I. Gingold

ACM Trans. Graph., 2018

Palette-based image decomposition, harmonization, and color transfer.

Jianchao Tan, Jose I. Echevarria, Yotam I. Gingold

CoRR, 2018

2017

Decomposing Images into Layers via RGB-Space Geometry.

Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold

ACM Trans. Graph., 2017

2015

Decomposing time-lapse paintings into layers.

Jianchao Tan, Marek Dvoroznák, Daniel Sýkora, Yotam I. Gingold

ACM Trans. Graph., 2015

Decomposing Digital Paintings into Layers via RGB-space Geometry.

Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold

CoRR, 2015