activity
20212025
most citedGuided Depth Map Super-resolution: A Survey

60 citations · 87 across the 32 of their papers we have counts for

collaborators

10 papers

cs.CR2023

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study

Yiqi Zhong, Xianming Liu, Deming Zhai +2

Large amounts of incremental learning algorithms have been proposed to alleviate the catastrophic forgetting issue arises while dealing with sequential data on a time series. Howev…

cs.CV20233 cited

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Peng Jin, Jinfa Huang, Pengfei Xiong +5

Contrastive learning-based video-language representation learning approaches, e.g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined…

cs.CV2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

Kehan Li, Yian Zhao, Zhennan Wang +6

Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and med…

cs.LG20231 cited

TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization

Ziquan Liu, Yi Xu, Xiangyang Ji +1

Recent years have seen the ever-increasing importance of pre-trained models and their downstream training in deep learning research and applications. At the same time, the defense…

cs.CV20232 cited

Parallel Vertex Diffusion for Unified Visual Grounding

Zesen Cheng, Kehan Li, Peng Jin +4

Unified visual grounding pursues a simple and generic technical route to leverage multi-task data with less task-specific design. The most advanced methods typically present boxes…

cs.CV202360 cited

Guided Depth Map Super-resolution: A Survey

Zhiwei Zhong, Xianming Liu, Junjun Jiang +2

Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution (HR) depth map from a low-resolution (LR) observation with the help of a paired HR color image…