activity
20162023
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 1.9k across the 17 of their papers we have counts for

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36 papers · 1 filter

cs.CV2023

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction

Pengyuan Lyu, Weihong Ma, Hongyi Wang +5

All tables can be represented as grids. Based on this observation, we propose GridFormer, a novel approach for interpreting unconstrained table structures by predicting the vertex…

cs.CV20232 cited

Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation

Huan Liu, Zichang Tan, Qiang Chen +3

Detecting and grounding multi-modal media manipulation (DGM^4) has become increasingly crucial due to the widespread dissemination of face forgery and text misinformation. In this…

cs.CV2023

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement

Chengyou Jia, Minnan Luo, Zhuohang Dang +3

Dominant Person Search methods aim to localize and recognize query persons in a unified network, which jointly optimizes two sub-tasks, \ie, pedestrian detection and Re-IDentificat…

cs.CV2021

Admix: Enhancing the Transferability of Adversarial Attacks

Xiaosen Wang, Xuanran He, Jingdong Wang +1

Deep neural networks are known to be extremely vulnerable to adversarial examples under white-box setting. Moreover, the malicious adversaries crafted on the surrogate (source) mod…

cs.CV202013 cited

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Yuhui Yuan, Jingyi Xie, Xilin Chen +1

We present a model-agnostic post-processing scheme to improve the boundary quality for the segmentation result that is generated by any existing segmentation model. Motivated by th…

cs.CV202015 cited

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

Fangyun Wei, Xiao Sun, Hongyang Li +2

A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person. While this center-poi…