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ORCIDQi Han 0007
Person information
- affiliation: Nankai University, College of Computer Science, Tianjin, China
Other persons with the same name
- Qi Han (aka: Han Qi) — disambiguation page
- Qi Han 0001
![[0000-0002-5856-383X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5856-383X")
— Colorado School of Mines, Golden, CO, USA - Qi Han 0002 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Qi Han 0003 — Eindhoven University of Technology, The Netherlands
- Qi Han 0004 — Chongqing University of Science and Technology, Chongqing, China
- Qi Han 0005 — Air Force Engineering University, Xi'an, China
- Qi Han 0006 — Stuttgart University, Germany
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2020 – today
- 2023
[j4]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2984-3002 (2023)- 2022
- [j3]Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4793-4806 (2022) - [c4]Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang:
On the Connection between Local Attention and Dynamic Depth-wise Convolution. ICLR 2022 - [i6]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. CoRR abs/2206.06637 (2022) - 2021
- [j2]Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng:
CDNet: Complementary Depth Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 3376-3390 (2021) - [j1]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30: 5984-5996 (2021) - [c3]Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng:
Representative Batch Normalization With Feature Calibration. CVPR 2021: 8669-8679 - [c2]Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CVPR 2021: 16805-16814 - [i5]Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CoRR abs/2101.00910 (2021) - [i4]Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang:
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight. CoRR abs/2106.04263 (2021) - 2020
- [c1]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [i3]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i2]Kai Zhao, Xinyu Zhang, Qi Han, Ming-Ming Cheng:
Dependency Aware Filter Pruning. CoRR abs/2005.02634 (2020) - [i1]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. CoRR abs/2011.12562 (2020)
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