Obserwuj
Long Chen
Tytuł
Cytowane przez
Cytowane przez
Rok
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
L Chen, H Zhang, J Xiao, L Nie, J Shao, W Liu, TS Chua
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
22662017
Counterfactual Samples Synthesizing for Robust Visual Question Answering
L Chen*, X Yan*, J Xiao, H Zhang, S Pu, Y Zhuang
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
3902020
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
L Chen, H Zhang, J Xiao, W Liu, SF Chang
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
3652018
Crossformer++: A Versatile Vision Transformer Hinging on Cross-scale Attention
W Wang, W Chen, Q Qiu, L Chen, B Wu, B Lin, X He, W Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 2023
3612023
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
L Chen, H Zhang, J Xiao, X He, S Pu, SF Chang
International Conference on Computer Vision (ICCV, Oral), 2019, 2019
1972019
Few-Shot Object Detection with Fully Cross-Transformer
G Han, J Ma, S Huang, L Chen, SF Chang
Computer Vision and Pattern Recognition (CVPR, Oral), 2022, 2022
1812022
Boundary Proposal Network for Two-Stage Natural Language Video Localization
S Xiao, L Chen, S Zhang, W Ji, J Shao, L Ye, J Xiao
AAAI Conference on Artificial Intelligence (AAAI), 2021 35 (4), 2986-2994, 2021
1792021
Rethinking the Bottom-Up Framework for Query-based Video Localization
L Chen*, C Lu*, S Tang, J Xiao, D Zhang, C Tan, X Li
AAAI Conference on Artificial Intelligence (AAAI, Oral), 2020, 2020
1752020
Federated Unsupervised Representation Learning
F Zhang, K Kuang, L Chen, Z You, T Shen, J Xiao, Y Zhang, C Wu, F Wu, ...
Frontiers of Information Technology & Electronic Engineering (FITEE), 2023, 2023
1662023
DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
C Lu*, L Chen*, C Tan, X Li, J Xiao
Empirical Methods in Natural Language Processing (EMNLP, Oral), 2019, 2019
1512019
Hierarchical Fashion Graph Network for Personalised Outfit Recommendation
X Li, X Wang, X He, L Chen, J Xiao, TS Chua
ACM Conference on Research and Development in Information Retrieval (SIGIR …, 2020
1442020
Video Question Answering via Attribute-Augmented Attention Network Learning
Y Ye, Z Zhao, Y Li, L Chen, J Xiao, Y Zhuang
ACM Conference on Research and Development in Information Retrieval (SIGIR …, 2017
1292017
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
L Li, L Chen, Y Huang, Z Zhang, S Zhang, J Xiao
Computer Vision and Pattern Recognition (CVPR, Oral), 2022, 2022
1102022
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
W Wang, L Yao, L Chen, B Lin, D Cai, X He, W Liu
International Conference on Learning Representations (ICLR), 2022, 2022
109*2022
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
F Shao, L Chen, J Shao, W Ji, S Xiao, L Ye, Y Zhuang, J Xiao
Neurocomputing, 2022, 2022
1062022
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
L Chen*, W Ma*, J Xiao, H Zhang, SF Chang
AAAI Conference on Artificial Intelligence (AAAI), 2021 35 (2), 1036-1044, 2021
1052021
On Pursuit of Designing Multi-modal Transformer for Video Grounding
M Cao, L Chen, MZ Shou, C Zhang, Y Zou
Empirical Methods in Natural Language Processing (EMNLP, Oral), 2021, 2021
882021
Human-like Controllable Image Captioning with Verb-specific Semantic Roles
L Chen*, Z Jiang*, J Xiao, W Liu
Computer Vision and Pattern Recognition (CVPR), 2021, 2021
832021
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
W Wang, M Chen, S Zhao, L Chen, J Hu, H Liu, D Cai, X He, W Liu
International Conference on Machine Learning (ICML), 2021, 2021
782021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
J Li, K Kuang, B Wang, F Liu, L Chen, F Wu, J Xiao
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021, 2021
722021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20