Search Results for author: Yuxuan Zhou

Found 13 papers, 11 papers with code

DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping

1 code implementation20 Mar 2024 Yuxuan Zhou, Xingxing Li, Shengyu Li, Xuanbin Wang, Shaoquan Feng, Yuxuan Tan

Visual simultaneous localization and mapping (VSLAM) has broad applications, with state-of-the-art methods leveraging deep neural networks for better robustness and applicability.

Optical Flow Estimation Sensor Fusion +1

BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics

1 code implementation13 Dec 2023 Wenqian Zhang, Molin Huang, Yuxuan Zhou, Juze Zhang, Jingyi Yu, Jingya Wang, Lan Xu

We further provide a strong baseline method, BOTH2Hands, for the novel task: generating vivid two-hand motions from both implicit body dynamics and explicit text prompts.

Motion Synthesis

Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution

no code implementations22 Nov 2023 Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei

Scene Text Image Super-Resolution (STISR) aims to enhance the resolution and legibility of text within low-resolution (LR) images, consequently elevating recognition accuracy in Scene Text Recognition (STR).

Denoising Image Super-Resolution +1

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

2 code implementations20 Sep 2023 Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei

We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.

Legal Reasoning Retrieval

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition

1 code implementation21 Aug 2023 Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper

We propose a method specifically designed for hand action recognition which uses relative angular embeddings and local Spherical Harmonics to create novel hand representations.

Action Recognition Skeleton Based Action Recognition

THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval

1 code implementation2 Jun 2023 Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu

The NLI4CT task aims to entail hypotheses based on Clinical Trial Reports (CTRs) and retrieve the corresponding evidence supporting the justification.

Natural Language Inference Retrieval +1

Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness

1 code implementation19 May 2023 Yuxuan Zhou, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Yifeng Geng, Xuansong Xie

As a remedy, we propose a threefold strategy: (1) We forge an innovative pathway that encodes bone connectivity by harnessing the power of graph distances.

Action Recognition Skeleton Based Action Recognition

Generative Action Description Prompts for Skeleton-based Action Recognition

3 code implementations ICCV 2023 Wangmeng Xiang, Chao Li, Yuxuan Zhou, Biao Wang, Lei Zhang

More specifically, we employ a pre-trained large-scale language model as the knowledge engine to automatically generate text descriptions for body parts movements of actions, and propose a multi-modal training scheme by utilizing the text encoder to generate feature vectors for different body parts and supervise the skeleton encoder for action representation learning.

Action Recognition Language Modelling +2

SP-ViT: Learning 2D Spatial Priors for Vision Transformers

1 code implementation15 Jun 2022 Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xiansheng Hua

Unlike convolutional inductive biases, which are forced to focus exclusively on hard-coded local regions, our proposed SPs are learned by the model itself and take a variety of spatial relations into account.

Image Classification

Table-based Fact Verification with Self-adaptive Mixture of Experts

1 code implementation Findings (ACL) 2022 Yuxuan Zhou, Xien Liu, Kaiyin Zhou, Ji Wu

The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem.

Fact Verification Logical Reasoning +2

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

1 code implementation NeurIPS 2020 Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang

We refine previous investigations of this failure at anomaly detection for invertible generative networks and provide a clear explanation of it as a combination of model bias and domain prior: Convolutional networks learn similar low-level feature distributions when trained on any natural image dataset and these low-level features dominate the likelihood.

Anomaly Detection

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