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2020 – today
- 2024
[j8]Mingsheng Li
, Lin Zhang, Mingzhen Zhu, Zilong Huang, Gang Yu, Jiayuan Fan, Tao Chen:
Lightweight Model Pre-Training via Language Guided Knowledge Distillation. IEEE Trans. Multim. 26: 10720-10730 (2024)- [c22]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CVPR 2024: 10371-10381 - [c21]Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao:
Disentangled Pre-training for Image Matting. WACV 2024: 168-177 - [i32]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CoRR abs/2401.10891 (2024) - [i31]Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang:
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR abs/2405.18428 (2024) - [i30]Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything V2. CoRR abs/2406.09414 (2024) - [i29]Mingsheng Li, Lin Zhang, Mingzhen Zhu, Zilong Huang, Gang Yu, Jiayuan Fan, Tao Chen:
Lightweight Model Pre-training via Language Guided Knowledge Distillation. CoRR abs/2406.11689 (2024) - [i28]Yunan Wang, Tingyu Guo, Zilong Huang, Yuan Yuan:
Revisiting Evolutionary Program Repair via Code Language Model. CoRR abs/2408.10486 (2024) - [i27]Weijia Li, Jun He, Junyan Ye, Huaping Zhong, Zhimeng Zheng, Zilong Huang, Dahua Lin, Conghui He:
CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis. CoRR abs/2408.14765 (2024) - [i26]Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li:
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models. CoRR abs/2410.09732 (2024) - 2023
- [j7]Zilong Huang, Hongyuan Jing, Aidong Chen, Chen Hong, Xinna Shang:
Efficient image dehazing algorithm using multiple priors constraints. J. Vis. Commun. Image Represent. 90: 103694 (2023) - [j6]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6896-6908 (2023) - [j5]Fukun Yin, Zilong Huang, Tao Chen, Guozhong Luo, Gang Yu, Bin Fu:
DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4083-4095 (2023) - [c20]Guosheng Yu, Zhihong Lv, Haijiang Wang, Zilong Huang, Jicheng Chen:
Task-aware Scheduling and Performance Optimization on Yitian710 SoC for GEMM-based Workloads on the Cloud. AICAS 2023: 1-5 - [c19]Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Gang Yu:
Executing your Commands via Motion Diffusion in Latent Space. CVPR 2023: 18000-18010 - [c18]Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. ICCV (Workshops) 2023: 752-761 - [c17]Qiang Wan, Zilong Huang, Jiachen Lu, Gang Yu, Li Zhang:
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation. ICLR 2023 - [i25]Qiang Wan, Zilong Huang, Jiachen Lu, Gang Yu, Li Zhang:
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation. CoRR abs/2301.13156 (2023) - [i24]Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao:
Disentangled Pre-training for Image Matting. CoRR abs/2304.00784 (2023) - [i23]Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang:
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR abs/2307.08581 (2023) - [i22]Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang:
Harnessing Diffusion Models for Visual Perception with Meta Prompts. CoRR abs/2312.14733 (2023) - 2022
- [j4]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 550-557 (2022) - [c16]Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen:
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. CVPR 2022: 12073-12083 - [c15]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91 - [c14]Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu:
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations. NeurIPS 2022 - [i21]Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen:
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. CoRR abs/2204.05525 (2022) - [i20]Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu:
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D Representations. CoRR abs/2210.11170 (2022) - [i19]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022) - [i18]Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu:
Executing your Commands via Motion Diffusion in Latent Space. CoRR abs/2212.04048 (2022) - 2021
- [j3]Yi Cao, Chen Liu, Zilong Huang, Yongjian Sheng, Yongjian Ju:
Skeleton-based action recognition with temporal action graph and temporal adaptive graph convolution structure. Multim. Tools Appl. 80(19): 29139-29162 (2021) - [c13]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. AAAI 2021: 3217-3224 - [c12]Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu:
A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices. CVPR Workshops 2021: 2466-2471 - [c11]Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang:
Human De-Occlusion: Invisible Perception and Recovery for Humans. CVPR 2021: 3691-3701 - [i17]Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang:
Human De-occlusion: Invisible Perception and Recovery for Humans. CoRR abs/2103.11597 (2021) - [i16]Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, Xian-Sheng Hua:
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. CoRR abs/2104.00875 (2021) - [i15]Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i14]Zilong Huang, Youcheng Ben, Guozhong Luo, Pei Cheng, Gang Yu, Bin Fu:
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer. CoRR abs/2106.03650 (2021) - [i13]Rui Zhang, Yang Han, Zilong Huang, Pei Cheng, Guozhong Luo, Gang Yu, Bin Fu:
Shuffle Transformer with Feature Alignment for Video Face Parsing. CoRR abs/2106.08650 (2021) - [i12]Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. CoRR abs/2112.12782 (2021) - 2020
- [j2]Zilong Huang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Jingdong Wang:
Semantic Image Segmentation by Scale-Adaptive Networks. IEEE Trans. Image Process. 29: 2066-2077 (2020) - [c10]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c9]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CVPR 2020: 2825-2835 - [i11]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CoRR abs/2001.01306 (2020) - [i10]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. CoRR abs/2003.00872 (2020) - [i9]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i8]Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A. Lange:
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis. CoRR abs/2005.10434 (2020) - [i7]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. CoRR abs/2009.06613 (2020)
2010 – 2019
- 2019
- [c8]Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. AAAI 2019: 4814-4821 - [c7]Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu:
CCNet: Criss-Cross Attention for Semantic Segmentation. ICCV 2019: 603-612 - [c6]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c5]Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang:
Motion-Guided Spatial Time Attention for Video Object Segmentation. ICCV Workshops 2019: 693-696 - [c4]Wei Zhang, Minghao Zhai, Zilong Huang, Chen Liu, Wei Li, Yi Cao:
Towards End-to-End Speech Recognition with Deep Multipath Convolutional Neural Networks. ICIRA (6) 2019: 332-341 - [i6]Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang:
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation. CoRR abs/1907.01203 (2019) - [i5]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - 2018
- [c3]Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, Jingdong Wang:
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing. CVPR 2018: 7014-7023 - [i4]Ting Liu, Tao Ruan, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao, Thomas S. Huang:
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. CoRR abs/1809.05996 (2018) - [i3]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. CoRR abs/1811.11721 (2018) - 2017
- [j1]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep patch learning for weakly supervised object classification and discovery. Pattern Recognit. 71: 446-459 (2017) - [c2]Jianxiang Ma, Anlong Ming, Zilong Huang, Xinggang Wang, Yu Zhou:
Object-Level Proposals. ICCV 2017: 4931-4939 - [i2]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep Patch Learning for Weakly Supervised Object Classification and Discovery. CoRR abs/1705.02429 (2017) - [i1]Xinggang Wang, Kaibing Chen, Zilong Huang, Cong Yao, Wenyu Liu:
Point Linking Network for Object Detection. CoRR abs/1706.03646 (2017) - 2016
- [c1]Meng Yu, Gang Chen, Zilong Huang, Qiang Wang, Yuan Chen:
Continuous Gesture Recognition Based on Hidden Markov Model. IDCS 2016: 3-11
Coauthor Index
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last updated on 2024-12-23 20:28 CET by the dblp team
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