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Jianchao Tan
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2020 – today
- 2024
- [j12]Shun Lu
, Yu Hu
PHD-NAS: Preserving helpful data to promote Neural Architecture Search. Neurocomputing 587: 127646 (2024) - [c23]Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR 2024 - [c22]Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC 2024: 545-561 - [i19]Hong Mo, Xiong Zhang, Jianchao Tan, Cheng Yang, Qiong Gu, Bo Hang, Wenqi Ren:
CountFormer: Multi-View Crowd Counting Transformer. CoRR abs/2407.02047 (2024) - 2023
- [j11]Cheng-Kang Ted Chao
LoCoPalettes: Local Control for Palette-based Image Editing. Comput. Graph. Forum 42(4): i-x (2023) - [j10]Qiling Wu, Jianchao Tan, Kun Xu:
PaletteNeRF: palette-based color editing for NeRFs. Commun. Inf. Syst. 23(4): 447-475 (2023) - [j9]Yunyang Xu
High Quality Superpixel Generation Through Regional Decomposition. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1802-1815 (2023) - [j8]Zheng-Jun Du
Image vectorization and editing via linear gradient layer decomposition. ACM Trans. Graph. 42(4): 97:1-97:13 (2023) - [j7]Cheng-Kang Ted Chao
ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization. ACM Trans. Graph. 42(4): 98:1-98:12 (2023) - [c21]Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu:
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI 2023: 8957-8965 - [c20]Beichuan Zhang
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM 2023: 4930-4937 - [c19]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CVPR 2023: 11940-11949 - [c18]Chao Liao, Jinwen Huang, Huan Yuan, Peng Yao, Jianchao Tan, Dawei Zhang, Feng Deng, Xiaorui Wang, Chengru Song:
Dynamic TF-TDNN: Dynamic Time Delay Neural Network Based on Temporal-Frequency Attention for Dialect Recognition. ICASSP 2023: 1-5 - [c17]Jun Wang, Peng Yao, Feng Deng, Jianchao Tan, Chengru Song, Xiaorui Wang:
NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection. ICASSP 2023: 1-5 - [c16]Chao Liao, Jianchao Tan, Jiyuan Jia, Yi Guo, Chengru Song:
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion. ICLR 2023 - [c15]Jue Chen
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. ACM Multimedia 2023: 5204-5213 - [i18]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CoRR abs/2302.14772 (2023) - [i17]Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. CoRR abs/2308.04672 (2023) - [i16]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CoRR abs/2308.09395 (2023) - [i15]Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i14]Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang:
USDC: Unified Static and Dynamic Compression for Visual Transformer. CoRR abs/2310.11117 (2023) - [i13]Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
ASP: Automatic Selection of Proxy dataset for efficient AutoML. CoRR abs/2310.11478 (2023) - 2022
- [c14]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. ICLR 2022 - [c13]Shun Lu, Yang Wang, Peng Yao, Chenxing Li, Jianchao Tan, Feng Deng, Xiaorui Wang, Chengru Song:
Conformer Space Neural Architecture Search for Multi-Task Audio Separation. INTERSPEECH 2022: 5358-5362 - [c12]Yang Wang, Chenxing Li, Feng Deng, Shun Lu, Peng Yao, Jianchao Tan, Chengru Song, Xiaorui Wang:
WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. INTERSPEECH 2022: 5373-5377 - [i12]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. CoRR abs/2203.08243 (2022) - [i11]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - [i10]Zhenyu Hu
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. CoRR abs/2206.02281 (2022) - [i9]Qiling Wu, Jianchao Tan, Kun Xu:
PaletteNeRF: Palette-based Color Editing for NeRFs. CoRR abs/2212.12871 (2022) - 2021
- [j6]Zheng-Jun Du
Video recoloring via spatial-temporal geometric palettes. ACM Trans. Graph. 40(4): 150:1-150:16 (2021) - [c11]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c10]Zhenyu Hu
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops 2021: 905-913 - [c9]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CVPR 2021: 13956-13967 - [c8]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [c7]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV 2021: 5219-5230 - [c6]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. ICCV 2021: 11261-11272 - [c5]Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu:
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR 2021 - [c4]Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu:
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. NeurIPS 2021: 15125-15137 - [i8]Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. CoRR abs/2107.11646 (2021) - [i7]Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. CoRR abs/2109.02220 (2021) - 2020
- [j5]Songrun Liu
Hyperspectral Inverse Skinning. Comput. Graph. Forum 39(6): 49-65 (2020) - [c3]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. ECCV (13) 2020: 1-17 - [c2]Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. ECCV (25) 2020: 17-33 - [c1]Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan:
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. ACM Multimedia 2020: 3136-3145 - [i6]Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. CoRR abs/2003.11883 (2020) - [i5]Heming Zhang, Xuewen Yang, Jianchao Tan, Chi-Hao Wu, Jue Wang, C.-C. Jay Kuo:
Learning Color Compatibility in Fashion Outfits. CoRR abs/2007.02388 (2020) - [i4]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. CoRR abs/2008.02693 (2020)
2010 – 2019
- 2019
- [j4]Jianchao Tan
Pigmento: Pigment-Based Image Analysis and Editing. IEEE Trans. Vis. Comput. Graph. 25(9): 2791-2803 (2019) - 2018
- [j3]Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
Efficient palette-based decomposition and recoloring of images via RGBXY-space geometry. ACM Trans. Graph. 37(6): 262 (2018) - [i3]Jianchao Tan, Jose Echevarria, Yotam I. Gingold:
Palette-based image decomposition, harmonization, and color transfer. CoRR abs/1804.01225 (2018) - 2017
- [j2]Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold:
Decomposing Images into Layers via RGB-Space Geometry. ACM Trans. Graph. 36(1): 7:1-7:14 (2017) - [i2]Jianchao Tan, Stephen DiVerdi, Jingwan Lu, Yotam I. Gingold:
Pigmento: Pigment-Based Image Analysis and Editing. CoRR abs/1707.08323 (2017) - 2015
- [j1]Jianchao Tan, Marek Dvoroznák, Daniel Sýkora, Yotam I. Gingold
Decomposing time-lapse paintings into layers. ACM Trans. Graph. 34(4): 61:1-61:10 (2015) - [i1]Jianchao Tan, Jyh-Ming Lien, Yotam I. Gingold:
Decomposing Digital Paintings into Layers via RGB-space Geometry. CoRR abs/1509.03335 (2015)
Coauthor Index
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last updated on 2024-11-14 21:01 CET by the dblp team
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