activity
20192023
most citedPseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

54 citations · 227 across the 28 of their papers we have counts for

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Showing 2023Show all

15 papers · 1 filter

cs.CV2023★ 8 cited

BEVHeight++: Toward Robust Visual Centric 3D Object Detection

Lei Yang, Tao Tang, Jun Li +6

While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…

cs.RO2023

6-DOF All-Terrain Cyclocopter

Jingwei Li, Boyuan Deng, Xinyu Zhang +1

This paper presents the design of a 6-DOF all-terrain micro aerial vehicle and two control strategies for multimodal flight, which are experimentally validated. The micro aerial ve…

cs.CL2023★ 22 cited

Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs

Chao Feng, Xinyu Zhang, Zichu Fei

Large language models (LLMs), such as ChatGPT and GPT-4, are versatile and can solve different tasks due to their emergent ability and generalizability. However, LLMs sometimes lac…

cs.CV2023★ 3 cited

Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification

Zhiyin Shao, Xinyu Zhang, Changxing Ding +2

The pre-training task is indispensable for the text-to-image person re-identification (T2I-ReID) task. However, there are two underlying inconsistencies between these two tasks tha…

cs.CV2023★ 31 cited

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Pan Zhang, Xiaoyi Dong, Bin Wang +18

We propose InternLM-XComposer, a vision-language large model that enables advanced image-text comprehension and composition. The innovative nature of our model is highlighted by th…

cs.CV2023★ 1 cited

DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision

Xiangchen Yin, Zhenda Yu, Xin Gao +1

Low-light image enhancement restores the colors and details of a single image and improves high-level visual tasks. However, restoring the lost details in the dark area is still a…

cs.CV2023★ 3 cited

SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection

Yan Gong, Xinyu Zhang, Hao Liu +7

Multi-modal fusion is increasingly being used for autonomous driving tasks, as different modalities provide unique information for feature extraction. However, the existing two-str…

cs.CV2023★ 54 cited

Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

Pei Liu, Luping Ji, Xinyu Zhang +1

Given the special situation of modeling gigapixel images, multiple instance learning (MIL) has become one of the most important frameworks for Whole Slide Image (WSI) classificatio…

cs.RO2023

Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization

Xiaoyu Wang, Kangyao Huang, Xinyu Zhang +5

An innovative sort of mobility platform that can both drive and fly is the air-ground robot. The need for an agile flight cannot be satisfied by traditional path planning technique…

stat.ME2023★ 1 cited

Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition

Xinyu Zhang, Kung-Sik Chan

Multivariate time series may be subject to partial structural changes over certain frequency band, for instance, in neuroscience. We study the change point detection problem with h…

cs.CV2023★ 2 cited

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection

Lei Yang, Kaicheng Yu, Tao Tang +5

While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…

cs.RO2023★ 1 cited

Bionic Collapsible Wings in Aquatic-aerial Robot

Xiao Xiong, Xinyu Zhang, Huanhao Huang +1

The concept of aerial-aquatic robots has emerged as an innovative solution that can operate both in the air and underwater. Previous research on the design of such robots has been…

cs.RO2023★ 1 cited

CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network

Mingze Wei, Yaomin Huang, Zhiyuan Xu +7

In this paper, we propose a novel representation for grasping using contacts between multi-finger robotic hands and objects to be manipulated. This representation significantly red…

cs.CV2023★ 19 cited

FastPillars: A Deployment-friendly Pillar-based 3D Detector

Sifan Zhou, Zhi Tian, Xiangxiang Chu +7

The deployment of 3D detectors strikes one of the major challenges in real-world self-driving scenarios. Existing BEV-based (i.e., Bird Eye View) detectors favor sparse convolution…

cs.AI2023

CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention

Songlin Xu, Xinyu Zhang

Using deep neural networks as computational models to simulate cognitive process can provide key insights into human behavioral dynamics. Challenges arise when environments are hig…