most citedA new neighborhood structure for job shop scheduling problems

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cs.CV20239 cited

Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance

Wei Xie, Haobo Jiang, Shuo Gu +1

Robust obstacle avoidance is one of the critical steps for successful goal-driven indoor navigation tasks.Due to the obstacle missing in the visual image and the possible missed de…

cs.CV20237 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

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.CV20231 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.CV2022

PSTR: End-to-End One-Step Person Search With Transformers

Jiale Cao, Yanwei Pang, Rao Muhammad Anwer +4

We propose a novel one-step transformer-based person search framework, PSTR, that jointly performs person detection and re-identification (re-id) in a single architecture. PSTR com…