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2020 – today
- 2025
[j3]Chengjie Wang
, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma:
SoftPatch+: Fully unsupervised anomaly classification and segmentation. Pattern Recognit. 161: 111295 (2025)- 2024
- [c22]Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma:
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection. AAAI 2024: 8445-8453 - [c21]Zhenye Gan, Feilong Zhai:
Speech Recognition of Noisy Tibetan Based on Parallel Branch Structure. CAIBDA 2024: 420-424 - [c20]Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jiangning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma:
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CVPR 2024: 22883-22892 - [c19]Yining Qiu, Yuxi Li, Jiafu Wu, Zhenye Gan, Mingmin Chi, Yabiao Wang, Chengjie Wang, Pei Wang:
Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition. ICASSP 2024: 1551-1555 - [c18]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
TransAVS: End-to-End Audio-Visual Segmentation with Transformer. ICASSP 2024: 7845-7849 - [c17]Chengjie Wang, Chengming Xu, Zhenye Gan, Yuxi Li, Jianlong Hu, Wenbing Zhu, Lizhuang Ma:
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision. ICME 2024: 1-6 - [c16]Yizhang Jin, Jian Li, Jiangning Zhang, Jianlong Hu, Zhenye Gan, Xin Tan, Yong Liu, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description. ACM Multimedia 2024: 11420-11425 - [i14]Jianlong Hu, Xu Chen, Zhenye Gan, Jinlong Peng, Shengchuan Zhang, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Liujuan Cao, Rongrong Ji:
DMAD: Dual Memory Bank for Real-World Anomaly Detection. CoRR abs/2403.12362 (2024) - [i13]Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jianning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma:
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CoRR abs/2403.12580 (2024) - [i12]Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie:
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection. CoRR abs/2404.06564 (2024) - [i11]Yizhang Jin, Jian Li, Yexin Liu, Tianjun Gu, Kai Wu, Zhengkai Jiang, Muyang He, Bo Zhao, Xin Tan, Zhenye Gan, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Efficient Multimodal Large Language Models: A Survey. CoRR abs/2405.10739 (2024) - [i10]Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu:
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection. CoRR abs/2406.03262 (2024) - [i9]Chengjie Wang, Chengming Xu, Zhenye Gan, Jianlong Hu, Wenbing Zhu, Lizhuag Ma:
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision. CoRR abs/2407.06698 (2024) - [i8]Yuxuan Cai, Jiangning Zhang, Haoyang He, Xinwei He, Ao Tong, Zhenye Gan, Chengjie Wang, Xiang Bai:
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models. CoRR abs/2410.16236 (2024) - [i7]Haoyang He, Jiangning Zhang, Yuxuan Cai, Hongxu Chen, Xiaobin Hu, Zhenye Gan, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Lei Xie:
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network. CoRR abs/2411.15941 (2024) - 2023
- [c15]Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. AAAI 2023: 2519-2527 - [c14]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CVPR 2023: 7370-7379 - [i6]Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Iterative Few-shot Semantic Segmentation from Image Label Text. CoRR abs/2303.05646 (2023) - [i5]Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. CoRR abs/2303.07582 (2023) - [i4]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CoRR abs/2303.09061 (2023) - [i3]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation. CoRR abs/2305.07223 (2023) - 2022
- [j2]Zhenye Gan, Yue Yu, Min Luo:
A tibetan-dependent speaker recognition method based on deep learning. Multim. Tools Appl. 81(21): 30821-30840 (2022) - [c13]Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu:
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation. CVPR 2022: 4351-4360 - [c12]Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang:
Learning Distinctive Margin toward Active Domain Adaptation. CVPR 2022: 7983-7992 - [c11]Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Iterative Few-shot Semantic Segmentation from Image Label Text. IJCAI 2022: 1385-1392 - [i2]Yifeng Chen, Wenqing Chu, Fangfang Wang, Ying Tai, Ran Yi, Zhenye Gan, Liang Yao, Chengjie Wang, Xi Li:
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation. CoRR abs/2201.04796 (2022) - [i1]Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang:
Learning Distinctive Margin toward Active Domain Adaptation. CoRR abs/2203.05738 (2022)
2010 – 2019
- 2019
- [c10]Zhenye Gan, Yi Jiao, Hongwu Yang, Gaungying Zhao, Zhimeng Song:
Study on the Tones Biases of Mandarin Speaker in Amdo Tibetan Areas Based on Statistics. APSIPA 2019: 1024-1028 - 2018
- [c9]Weitong Guo, Hongwu Yang, Zhenye Gan:
A DNN-based Mandarin-Tibetan cross-lingual speech synthesis. APSIPA 2018: 1702-1707 - [c8]Zhenye Gan, Xiaotian Xing, Hongwu Yang, Guangying Zhao:
Mandarin-Tibetan Cross-Lingual Voice Conversion System Based on Deep Neural Network. CSAI/ICIMT 2018: 67-71 - [c7]Zhenye Gan, Jiafang Han, Hongwu Yang:
Perception and Production of Mandarin Monosyllabic Tones by Amdo Tibetan College Students. NLPCC (1) 2018: 16-26 - 2017
- [c6]Zhenye Gan, Lizhuang Ma, Chengjie Wang, Yicong Liang:
Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices. CISP-BMEI 2017: 1-9 - [c5]Peiwen Wu, Hongwu Yang, Zhenye Gan:
Towards Realizing Mandarin-Tibetan Bi-lingual Emotional Speech Synthesis with Mandarin Emotional Training Corpus. ICPCSEE (2) 2017: 126-137 - 2016
- [c4]Zhenye Gan, Xinjie Kong, Shuai Zhang:
Research on text analysis for Tibetan statistical parametric speech synthesis. CISP-BMEI 2016: 877-882 - [c3]Xiaochun An, Hongwu Yang, Zhenye Gan:
Towards Realizing Sign Language-to-Speech Conversion by Combining Deep Learning and Statistical Parametric Speech Synthesis. ICYCSEE (1) 2016: 678-690 - 2015
- [j1]Hongwu Yang, Keiichiro Oura, Haiyan Wang, Zhenye Gan, Keiichi Tokuda:
Using speaker adaptive training to realize Mandarin-Tibetan cross-lingual speech synthesis. Multim. Tools Appl. 74(22): 9927-9942 (2015) - 2014
- [c2]Hao Chen, Zhenye Gan, Hongwu Yang:
Realizing speech enhancement by combining EEMD and K-SVD dictionary training algorithm. ISCSLP 2014: 378 - 2013
- [c1]Hongwu Yang, Keiichiro Oura, Zhenye Gan, Keiichi Tokuda:
Realizing Tibetan speech synthesis by speaker adaptive training. APSIPA 2013: 1-4
Coauthor Index
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