activity
20202024
most citedA New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing

129 citations · 168 across the 6 of their papers we have counts for

collaborators

6 papers

nucl-th2024★ 1 cited

Multiboson Hanbury Brown-Twiss correlations for partially coherent sources in relativistic heavy-ion collisions in a multiphase transport model

Shi-Yao Wang, Jun-Ting Ye, Wei-Ning Zhang

We use a multi-phase transport (AMPT) model to study multi-pion and multi-kaon Hanbury Brown-Twiss (HBT) correlations for the partially coherent particle-emitting sources in relati…

cs.CV2024

Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving

JunDa Cheng, Wei Yin, Kaixuan Wang +3

Multi-view depth estimation has achieved impressive performance over various benchmarks. However, almost all current multi-view systems rely on given ideal camera poses, which are…

nucl-th2023★ 2 cited

Two-pion interferometry for partially coherent sources in relativistic heavy-ion collisions in a multi-phase transport model

Shi-Yao Wang, Jun-Ting Ye, Wei-Ning Zhang

We perform two-pion Hanbury Brown-Twiss (HBT) interferometry for the partially coherent pion-emitting sources in relativistic heavy-ion collisions, using a multi-phase transport (A…

cs.CV2023★ 36 cited

Visual Tuning

Bruce X. B. Yu, Jianlong Chang, Haixin Wang +9

Fine-tuning visual models has been widely shown promising performance on many downstream visual tasks. With the surprising development of pre-trained visual foundation models, visu…

cs.CV2022

Fine-grained Retrieval Prompt Tuning

Shijie Wang, Jianlong Chang, Zhihui Wang +3

Fine-grained object retrieval aims to learn discriminative representation to retrieve visually similar objects. However, existing top-performing works usually impose pairwise simil…

cs.CV2020★ 129 cited

A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing

Chongwei Liu, Zhihui Wang, Shijie Wang +6

To boost the object grabbing capability of underwater robots for open-sea farming, we propose a new dataset (UDD) consisting of three categories (seacucumber, seaurchin, and scallo…