Search Results for author: Shi Qiu

Found 30 papers, 20 papers with code

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical Visualization

2 code implementations22 May 2025 Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Hongyi Wang, Dake Zhang, Huaxiu Yao

While foundation models (FMs), such as diffusion models and large vision-language models (LVLMs), have been widely applied in educational contexts, their ability to generate pedagogically effective visual explanations remains limited.

Visual Reasoning

Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting

1 code implementation CVPR 2025 Runsong Zhu, Shi Qiu, Zhengzhe Liu, Ka-Hei Hui, Qianyi Wu, Pheng-Ann Heng, Chi-Wing Fu

Therefore, we formulate the association learning module and the noisy label filtering module for effective and robust codebook learning.

Instance Segmentation Object +2

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection

1 code implementation16 Mar 2025 Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang

Model selection has been raised as an essential problem in the area of time series anomaly detection (TSAD), because there is no single best TSAD model for the highly heterogeneous time series in real-world applications.

Anomaly Detection Model Selection +2

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

no code implementations20 Feb 2025 M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shawn Gavin, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, David Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tyshawn Hsing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, YuBo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

To address this gap, we present SuperGPQA, a comprehensive benchmark that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines.

Collaborative Filtering

Creating Virtual Environments with 3D Gaussian Splatting: A Comparative Study

no code implementations16 Jan 2025 Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng

3D Gaussian Splatting (3DGS) has recently emerged as an innovative and efficient 3D representation technique.

3DGS

MS2Mesh-XR: Multi-modal Sketch-to-Mesh Generation in XR Environments

no code implementations12 Dec 2024 Yuqi Tong, Yue Qiu, Ruiyang Li, Shi Qiu, Pheng-Ann Heng

We present MS2Mesh-XR, a novel multi-modal sketch-to-mesh generation pipeline that enables users to create realistic 3D objects in extended reality (XR) environments using hand-drawn sketches assisted by voice inputs.

Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects

no code implementations9 Dec 2024 Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng

3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to revolutionize 3D representation, rendering, and interaction.

3DGS

NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds

1 code implementation26 Nov 2024 Ruikai Cui, Shi Qiu, Jiawei Liu, Saeed Anwar, Nick Barnes

Recent advancements address this problem by training neural signed distance functions to pull 3D location queries to their closest points on a surface, following the predicted signed distances and the analytical gradients computed by the network.

Surface Reconstruction

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

1 code implementation14 Oct 2024 Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao

Extensive experiments demonstrate the effectiveness of our benchmark and metrics in providing a comprehensive evaluation of interleaved LVLMs.

Multiple-choice

PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion

1 code implementation14 Oct 2024 Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu

Panoptic lifting is an effective technique to address the 3D panoptic segmentation task by unprojecting 2D panoptic segmentations from multi-views to 3D scene.

3D Panoptic Segmentation Panoptic Segmentation +1

Improving Bird's Eye View Semantic Segmentation by Task Decomposition

1 code implementation CVPR 2024 Tianhao Zhao, Yongcan Chen, Yu Wu, Tianyang Liu, Bo Du, Peilun Xiao, Shi Qiu, Hongda Yang, Guozhen Li, Yi Yang, Yutian Lin

In the first stage, we train a BEV autoencoder to reconstruct the BEV segmentation maps given corrupted noisy latent representation, which urges the decoder to learn fundamental knowledge of typical BEV patterns.

Autonomous Driving BEV Segmentation +3

Agents: An Open-source Framework for Autonomous Language Agents

1 code implementation14 Sep 2023 Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Xiangru Tang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.

Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection

1 code implementation10 Aug 2023 Ruikai Cui, Siyuan He, Shi Qiu

Foundation models, such as OpenAI's GPT-3 and GPT-4, Meta's LLaMA, and Google's PaLM2, have revolutionized the field of artificial intelligence.

Object object-detection +3

A Comprehensive Overview of Large Language Models

1 code implementation12 Jul 2023 Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Naveed Akhtar, Nick Barnes, Ajmal Mian

Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond.

Benchmarking

PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

1 code implementation5 Dec 2022 Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson

Specifically, we use the Unknown-Point Simulator to simulate out-of-distribution data in the training stage by manipulating the geometric context of partial known data.

Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion

1 code implementation13 Nov 2022 Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes

Unsupervised point cloud completion aims to infer the whole geometry of a partial object observation without requiring partial-complete correspondence.

Decoder Point Cloud Completion

Efficient Score Computation and Expectation-Maximization Algorithm in Regime-Switching Models

no code implementations3 May 2022 Chaojun Li, Shi Qiu

This study proposes an efficient algorithm for score computation for regime-switching models, and derived from which, an efficient expectation-maximization (EM) algorithm.

PU-Transformer: Point Cloud Upsampling Transformer

2 code implementations24 Nov 2021 Shi Qiu, Saeed Anwar, Nick Barnes

Given the rapid development of 3D scanners, point clouds are becoming popular in AI-driven machines.

point cloud upsampling

PnP-3D: A Plug-and-Play for 3D Point Clouds

1 code implementation16 Aug 2021 Shi Qiu, Saeed Anwar, Nick Barnes

With the help of the deep learning paradigm, many point cloud networks have been invented for visual analysis.

object-detection Object Detection +1

Investigating Attention Mechanism in 3D Point Cloud Object Detection

1 code implementation2 Aug 2021 Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li

Object detection in three-dimensional (3D) space attracts much interest from academia and industry since it is an essential task in AI-driven applications such as robotics, autonomous driving, and augmented reality.

Autonomous Driving Object +2

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

2 code implementations7 Aug 2017 Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

This work addresses unconstrained fashion landmark detection, where clothing bounding boxes are not provided in both training and test.

DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations

no code implementations CVPR 2016 Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

To demonstrate the advantages of DeepFashion, we propose a new deep model, namely FashionNet, which learns clothing features by jointly predicting clothing attributes and landmarks.

 Ranked #1 on 2D Cyclist Detection on ^(#$!@#$)(()))****** (using extra training data)

2D Cyclist Detection Retrieval

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

no code implementations11 Sep 2014 Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, Zhenyao Zhu, Ruohui Wang, Chen-Change Loy, Xiaogang Wang, Xiaoou Tang

In the proposed new deep architecture, a new deformation constrained pooling (def-pooling) layer models the deformation of object parts with geometric constraint and penalty.

Diversity Object +2

Cannot find the paper you are looking for? You can Submit a new open access paper.