E-LIB Suche - Ergebnisse für: Mai, Zheda

1

Visual Query Tuning: Towards Effective Usage of Intermediat..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Tu, Cheng-Hao ; Mai, Zheda ; Chao, Wei-Lun - p. 7725-7735 , 2023

2

TransCAM: Transformer attention-based CAM refinement for We..:

Li, Ruiwen ; Mai, Zheda ; Zhang, Zhibo..
Journal of Visual Communication and Image Representation. 92 (2023) - p. 103800 , 2023

Link: https://doi.org/10.1016/..

3

Towards understanding and mitigating unintended biases in l..:

Shen, Tianshu ; Li, Jiaru ; Bouadjenek, Mohamed Reda..
Information Processing & Management. 60 (2023) 1 - p. 103139 , 2023

Link: https://doi.org/10.1016/..

4

Mitigating the Filter Bubble While Maintaining Relevance ..:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Gao, Zhaolin ; Shen, Tianshu ; Mai, Zheda... - p. 2524-2531 , 2022

Link: https://dl.acm.org/doi/1..

5

Online continual learning in image classification: An empir..:

Mai, Zheda ; Li, Ruiwen ; Jeong, Jihwan...
Neurocomputing. 469 (2022) - p. 28-51 , 2022

Link: https://doi.org/10.1016/..

6

CVPR 2020 continual learning in computer vision competition..:

Lomonaco, Vincenzo ; Pellegrini, Lorenzo ; Rodriguez, Pau...
Artificial Intelligence. 303 (2022) - p. 103635 , 2022

Link: https://doi.org/10.1016/..

7

Distributional Contrastive Embedding for Clarification-base..:

, In: Proceedings of the ACM Web Conference 2022,

Shen, Tianshu ; Mai, Zheda ; Wu, Ga. - p. 2422-2432 , 2022

Link: https://dl.acm.org/doi/1..

8

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with ..:

Tu, Cheng-Hao ; Chen, Hong-You ; Mai, Zheda...
http://arxiv.org/abs/2311.01420. , 2023

Link: http://arxiv.org/abs/231..

9

Segment Anything Model (SAM) Enhanced Pseudo Labels for Wea..:

Chen, Tianle ; Mai, Zheda ; Li, Ruiwen.
http://arxiv.org/abs/2305.05803. , 2023

Link: http://arxiv.org/abs/230..

10

TransCAM: Transformer Attention-based CAM Refinement for We..:

Li, Ruiwen ; Mai, Zheda ; Trabelsi, Chiheb...
http://arxiv.org/abs/2203.07239. , 2022

Link: http://arxiv.org/abs/220..

11

Unintended Bias in Language Model-driven Conversational Rec..:

Shen, Tianshu ; Li, Jiaru ; Bouadjenek, Mohamed Reda..
http://arxiv.org/abs/2201.06224. , 2022

Link: http://arxiv.org/abs/220..

12

Visual Query Tuning: Towards Effective Usage of Intermediat..:

Tu, Cheng-Hao ; Mai, Zheda ; Chao, Wei-Lun
http://arxiv.org/abs/2212.03220. , 2022

Link: http://arxiv.org/abs/221..

13

Online Continual Learning in Image Classification: An Empir..:

Mai, Zheda ; Li, Ruiwen ; Jeong, Jihwan...
http://arxiv.org/abs/2101.10423. , 2021

Link: http://arxiv.org/abs/210..

14

Supervised Contrastive Replay: Revisiting the Nearest Class..:

Mai, Zheda ; Li, Ruiwen ; Kim, Hyunwoo.
http://arxiv.org/abs/2103.13885. , 2021

Link: http://arxiv.org/abs/210..

15

CVPR 2020 Continual Learning in Computer Vision Competition..:

Lomonaco, Vincenzo ; Pellegrini, Lorenzo ; Rodriguez, Pau...
http://arxiv.org/abs/2009.09929. , 2020

Link: http://arxiv.org/abs/200..