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2020 – today
- 2024
[c24]Dongze Lian, Weihao Yu, Xinchao Wang:
Receptive Fields As Experts in Convolutional Neural Architectures. ICML 2024- [c23]Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao:
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. WACV 2024: 914-923 - [i19]Jiada Lu, Weiwei Zhou, Xiang Qian, Dongze Lian, Yanyu Xu, Weifeng Wang, Lina Cao, Shenghua Gao:
FCA-RAC: First Cycle Annotated Repetitive Action Counting. CoRR abs/2406.12178 (2024) - [i18]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR abs/2407.06964 (2024) - 2023
- [c22]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CVPR 2023: 2437-2447 - [c21]Jiaben Chen, Renrui Zhang, Dongze Lian, Jiaqi Yang, Ziyao Zeng, Jianbo Shi:
iQuery: Instruments as Queries for Audio-Visual Sound Separation. CVPR 2023: 14675-14686 - [c20]Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo
, Michael Bi Mi, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. ICCV 2023: 9908-9918 - [c19]Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
Priority-Centric Human Motion Generation in Discrete Latent Space. ICCV 2023: 14760-14770 - [c18]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. ICCV 2023: 17159-17170 - [c17]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-Based Video Frame Interpolation. IROS 2023: 1292-1299 - [c16]Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang:
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. NeurIPS 2023 - [i17]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CoRR abs/2303.12370 (2023) - [i16]Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR abs/2304.02419 (2023) - [i15]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-based Video Frame Interpolation. CoRR abs/2307.12558 (2023) - [i14]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. CoRR abs/2308.10524 (2023) - [i13]Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
Priority-Centric Human Motion Generation in Discrete Latent Space. CoRR abs/2308.14480 (2023) - [i12]Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang:
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. CoRR abs/2309.13625 (2023) - [i11]Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao:
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. CoRR abs/2311.03427 (2023) - [i10]Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
DreamDrone. CoRR abs/2312.08746 (2023) - 2022
- [j6]Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao:
Future Frame Prediction Network for Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7505-7520 (2022) - [j5]Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao:
Locating and Counting Heads in Crowds With a Depth Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9056-9072 (2022) - [c15]Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao:
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. CVPR 2022: 18991-19000 - [c14]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CVPR 2022: 19858-19870 - [c13]Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao:
AS-MLP: An Axial Shifted MLP Architecture for Vision. ICLR 2022 - [c12]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS 2022 - [i9]Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao:
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. CoRR abs/2204.01018 (2022) - [i8]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR abs/2210.08823 (2022) - [i7]Jiaben Chen, Renrui Zhang, Dongze Lian, Jiaqi Yang, Ziyao Zeng, Jianbo Shi:
iQuery: Instruments as Queries for Audio-Visual Sound Separation. CoRR abs/2212.03814 (2022) - 2021
- [j4]Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao:
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1070-1084 (2021) - [j3]Ziheng Zhang, Dongze Lian, Shenghua Gao:
RGB-D-based gaze point estimation via multi-column CNNs and facial landmarks global optimization. Vis. Comput. 37(7): 1731-1741 (2021) - [c11]Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao:
KGDet: Keypoint-Guided Fashion Detection. AAAI 2021: 2449-2457 - [c10]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CVPR 2021: 16888-16897 - [c9]Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao:
Crowd Counting With Partial Annotations in an Image. ICCV 2021: 15550-15559 - [i6]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CoRR abs/2104.04386 (2021) - [i5]Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao:
AS-MLP: An Axial Shifted MLP Architecture for Vision. CoRR abs/2107.08391 (2021) - [i4]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CoRR abs/2112.06447 (2021) - 2020
- [c8]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020
2010 – 2019
- 2019
- [j2]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification. Entropy 21(5): 456 (2019) - [j1]Dongze Lian, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu, Shenghua Gao:
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3010-3023 (2019) - [c7]Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. AAAI 2019: 2488-2495 - [c6]Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding. CVPR 2019: 1029-1037 - [c5]Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao:
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. CVPR 2019: 1821-1830 - [c4]Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. CVPR 2019: 4748-4756 - [i3]Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding. CoRR abs/1902.09777 (2019) - [i2]Dongze Lian, Zehao Yu, Shenghua Gao:
Believe It or Not, We Know What You Are Looking at! CoRR abs/1907.02364 (2019) - 2018
- [c3]Dongze Lian, Zehao Yu, Shenghua Gao:
Believe It or Not, We Know What You Are Looking At! ACCV (3) 2018: 35-50 - [c2]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CVPR 2018: 6536-6545 - [c1]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane. ECCV (11) 2018: 181-195 - 2017
- [i1]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CoRR abs/1712.09867 (2017)
Coauthor Index
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last updated on 2024-10-08 20:30 CEST by the dblp team
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