Suivre
Hancheng Ye
Titre
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ChartX & ChartVLM: A versatile benchmark and foundation model for complicated chart reasoning
R Xia*, B Zhang*, H Ye*, X Yan, Q Liu, H Zhou, Z Chen, M Dou, B Shi, ...
arXiv preprint arXiv:2402.12185, 2024
372024
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
H Ye, B Zhang, T Chen, J Fan, B Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10267 …, 2023
292023
Automatic loss function search for adversarial unsupervised domain adaptation
Z Mei, P Ye, H Ye, B Li, J Guo, T Chen, W Ouyang
IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5868 …, 2023
272023
Sample-centric feature generation for semi-supervised few-shot learning
B Zhang, H Ye, G Yu, B Wang, Y Wu, J Fan, T Chen
IEEE Transactions on Image Processing 31, 2309-2320, 2022
242022
Structchart: Perception, structuring, reasoning for visual chart understanding
R Xia, B Zhang, H Peng, H Ye, X Yan, P Ye, B Shi, Y Qiao, J Yan
arXiv preprint arXiv:2309.11268, 2023
212023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations
X Yan*, R Chen*, B Zhang, H Ye, R Xia, J Yuan, H Zhou, X Cai, B Shi, ...
arXiv preprint arXiv:2309.10527, 2024
7*2024
Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, et al. Docgenome: An open large-scale scientific document benchmark for training and testing multi-modal large language models
R Xia, S Mao, X Yan, H Zhou, B Zhang, H Peng
arXiv preprint arXiv:2406.11633 2, 2024
52024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
H Ye, C Yu, P Ye, R Xia, Y Tang, J Lu, T Chen, B Zhang
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2024
42024
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions
J Zhang, J Fan, P Ye, B Zhang, H Ye, B Li, Y Cai, T Chen
arXiv preprint arXiv:2312.13514, 2023
4*2023
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
R Xia*, S Mao*, X Yan*, H Zhou, B Zhang, H Peng, J Pi, D Fu, W Wu, H Ye, ...
arXiv preprint arXiv:2406.11633, 2024
32024
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
W Wu, J Fan, T Chen, H Ye, B Zhang, B Li
arXiv preprint arXiv:2211.08106, 2022
32022
Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation
J Chen, J Fan, H Ye, J Li, Y Liao, T Chen
IEEE Transactions on Multimedia 25, 7337-7349, 2022
32022
Enhanced sparsification via stimulative training
S Tang*, W Lin*, H Ye, P Ye, C Yu, B Li, T Chen
The 18th European Conference on Computer Vision ECCV 2024, 2024
22024
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
R Xia, M Li, H Ye, W Wu, H Zhou, J Yuan, T Peng, X Cai, X Yan, B Wang, ...
arXiv preprint arXiv:2412.11863, 2024
12024
Efficient architecture search via bi-level data pruning
C Tu, P Ye, W Lin, H Ye, C Yu, T Chen, B Li, W Ouyang
IEEE Transactions on Circuits and Systems for Video Technology, 2024
12024
Revisiting 3D visual grounding with Context-aware Feature Aggregation
P Guo, H Zhu, H Ye, T Li, T Chen
Neurocomputing 601, 128195, 2024
12024
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
Q Wang, S Vahidian, H Ye, J Gu, J Zhang, Y Chen
arXiv preprint arXiv:2410.18311, 2024
2024
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
H Ye*, J Yuan*, R Xia, X Yan, T Chen, J Yan, B Shi, B Zhang
The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024
2024
CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection
S Wu, F Yin, H Ye, T Chen
2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024
2024
Gasc: Geometry-Aware Semantic Consistency for 3d Visual Grounding
P Guo, H Zhu, H Ye, S Chen, F Yin, T Chen
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