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20152026
most citedFrom Handcrafted to Deep Features for Pedestrian Detection: A Survey

161 citations · 628 across the 32 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 2 cited

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

Bin Xie, Jiale Cao, Jin Xie +2

Open-vocabulary semantic segmentation strives to distinguish pixels into different semantic groups from an open set of categories. Most existing methods explore utilizing pre-train…

cs.CV2023

A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Chao Qin, Jiale Cao, Huazhu Fu +2

Detecting breast lesion in videos is crucial for computer-aided diagnosis. Existing video-based breast lesion detection approaches typically perform temporal feature aggregation of…

cs.CV2023★ 7 cited

DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Hefeng Wang, Jiale Cao, Rao Muhammad Anwer +3

This paper introduces an approach, named DFormer, for universal image segmentation. The proposed DFormer views universal image segmentation task as a denoising process using a diff…

cs.CV2023★ 10 cited

Transformer-based stereo-aware 3D object detection from binocular images

Hanqing Sun, Yanwei Pang, Jiale Cao +2

Transformers have shown promising progress in various visual object detection tasks, including monocular 2D/3D detection and surround-view 3D detection. More importantly, the atten…

cs.CV2023★ 1 cited

LEAPS: End-to-End One-Step Person Search With Learnable Proposals

Zhiqiang Dong, Jiale Cao, Rao Muhammad Anwer +3

We propose an end-to-end one-step person search approach with learnable proposals, named LEAPS. Given a set of sparse and learnable proposals, LEAPS employs a dynamic person search…

cs.CV2023★ 28 cited

Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search

Jiabei Wang, Yanwei Pang, Jiale Cao +3

Weakly supervised person search aims to perform joint pedestrian detection and re-identification (re-id) with only person bounding-box annotations. Recently, the idea of contrastiv…