Xueqing Deng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Structural Features

Convolutional Neural Networks

Image Retrieval

Top Venues

ACM SIGSPATIAL Special

Publications

Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. CoRR (2024)
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR (2024)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024)
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
COCONut: Modernizing COCO Segmentation. CoRR (2024)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR (2023)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR (2023)
Xueqing Deng, Qi Fan, Xiaojie Jin, Linjie Yang, Peng Wang
Selective Feature Adapter for Dense Vision Transformers. CoRR (2023)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS (2023)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization. CoRR (2022)
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CVPR (2022)
Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14 (1) (2022)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. ECCV (34) (2022)
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CoRR (2022)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR (2022)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13 (3) (2021)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. WACV (2021)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. CoRR (2021)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13 (2021)
Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li
aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks. Bioinform. 37 (7) (2021)
Xueqing Deng, Yuxin Tian, Shawn D. Newsam
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. GIScience (I) (2021)
Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. WACV (2020)
Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification. BMC Bioinform. 21 (1) (2020)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. CoRR (2020)
Zhenfeng Shao, Weixun Zhou, Xueqing Deng, Maoding Zhang, Qimin Cheng
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. CoRR (2019)
Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS (2019)
Yi Zhu, Xueqing Deng, Shawn D. Newsam
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. IEEE Trans. Multim. 21 (7) (2019)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. CoRR (2019)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Spatial Morphing Kernel Regression For Feature Interpolation. CoRR (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks. SIGSPATIAL/GIS (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks. CoRR (2018)
Weixun Zhou, Xueqing Deng, Zhenfeng Shao
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval. CoRR (2018)
Yi Zhu, Xueqing Deng, Shawn D. Newsam
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. CoRR (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Spatial Morphing Kernel Regression for Feature Interpolation. ICIP (2018)
Xueqing Deng, Shawn D. Newsam
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. CoRR (2017)
Xueqing Deng, Shawn D. Newsam
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. UrbanGIS@SIGSPATIAL (2017)