Search Results for author: Xiaonan Huang

Found 11 papers, 7 papers with code

Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning

1 code implementation17 Mar 2024 Xiaohao Xu, Yunkang Cao, Yongqi Chen, Weiming Shen, Xiaonan Huang

In addition, we unify the input representation of multi-modality into a 2D image format, enabling multi-modal anomaly detection and reasoning.

Anomaly Detection

GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

1 code implementation10 Mar 2024 Huaxin Zhang, Xiang Wang, Xiaohao Xu, Xiaonan Huang, Chuchu Han, Yuehuan Wang, Changxin Gao, Shanjun Zhang, Nong Sang

In recent years, video anomaly detection has been extensively investigated in both unsupervised and weakly supervised settings to alleviate costly temporal labeling.

Anomaly Detection Video Anomaly Detection

$\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

2 code implementations7 Mar 2024 Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazak, Hao Chen, Xiaonan Huang, Bhiksha Raj

Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the environment where intelligent systems perceive.

Benchmarking

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

1 code implementation12 Feb 2024 Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

To this end, we propose a novel, customizable pipeline for noisy data synthesis, aimed at assessing the resilience of multi-modal SLAM models against various perturbations.

Benchmarking Simultaneous Localization and Mapping

A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

no code implementations29 Jan 2024 Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen

Visual Anomaly Detection (VAD) endeavors to pinpoint deviations from the concept of normality in visual data, widely applied across diverse domains, e. g., industrial defect inspection, and medical lesion detection.

Anomaly Detection Lesion Detection

Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead

1 code implementation5 Nov 2023 Yunkang Cao, Xiaohao Xu, Chen Sun, Xiaonan Huang, Weiming Shen

This study explores the use of GPT-4V(ision), a powerful visual-linguistic model, to address anomaly detection tasks in a generic manner.

3D Anomaly Detection Time Series

6N-DoF Pose Tracking for Tensegrity Robots

no code implementations29 May 2022 Shiyang Lu, William R. Johnson III, Kun Wang, Xiaonan Huang, Joran Booth, Rebecca Kramer-Bottiglio, Kostas Bekris

To ensure that the pose estimates of rigid elements are physically feasible, i. e., they are not resulting in collisions between rods or with the environment, physical constraints are introduced during the optimization.

Pose Estimation Pose Tracking

Effective, Efficient and Robust Neural Architecture Search

no code implementations19 Nov 2020 Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang

Although NAS methods can find network architectures with the state-of-the-art performance, the adversarial robustness and resource constraint are often ignored in NAS.

Adversarial Robustness Neural Architecture Search

Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network

1 code implementation12 Feb 2020 Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang

The proposed feature augmentation strategy can be used in many deep multi-task learning models.

Multi-Task Learning

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