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2020 – today
- 2024
[j7]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)- [c13]Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang:
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. CVPR 2024: 10649-10658 - [c12]Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen:
COCONut: Modernizing COCO Segmentation. CVPR 2024: 21863-21873 - [c11]Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng:
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval. CVPR 2024: 27134-27143 - [i19]Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen:
COCONut: Modernizing COCO Segmentation. CoRR abs/2404.08639 (2024) - [i18]Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang:
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. CoRR abs/2404.10603 (2024) - [i17]Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen:
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR abs/2406.07550 (2024) - [i16]Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen:
MaskBit: Embedding-free Image Generation via Bit Tokens. CoRR abs/2409.16211 (2024) - 2023
- [c10]Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS 2023 - [i15]Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR abs/2308.02487 (2023) - [i14]Xueqing Deng, Qi Fan, Xiaojie Jin, Linjie Yang, Peng Wang:
Selective Feature Adapter for Dense Vision Transformers. CoRR abs/2310.01843 (2023) - [i13]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 abs/2311.18537 (2023) - 2022
- [j6]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): 23-25 (2022) - [c9]Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam:
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CVPR 2022: 16917-16927 - [c8]Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang:
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. ECCV (34) 2022: 218-235 - [i12]Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam:
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CoRR abs/2204.05538 (2022) - [i11]Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang:
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization. CoRR abs/2204.05547 (2022) - [i10]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 abs/2210.13207 (2022) - 2021
- [b1]Xueqing Deng:
Generalization and Adaptation of Deep Learning Models for Semantic Segmentation. University of California, Merced, USA, 2021 - [j5]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): 937-942 (2021) - [j4]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): 21-32 (2021) - [c7]Xueqing Deng, Yuxin Tian, Shawn D. Newsam:
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. GIScience (I) 2021: 3:1-3:14 - [c6]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. WACV 2021: 2159-2168 - [e1]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - [i9]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. CoRR abs/2106.13227 (2021) - 2020
- [j3]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): 57 (2020) - [j2]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: 318-328 (2020) - [c5]Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. WACV 2020: 2501-2509 - [i8]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. CoRR abs/2012.04222 (2020)
2010 – 2019
- 2019
- [j1]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): 1825-1838 (2019) - [c4]Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga:
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS 2019: 4955-4958 - [i7]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. CoRR abs/1902.06923 (2019) - [i6]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. CoRR abs/1912.10667 (2019) - 2018
- [c3]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: 43-52 - [c2]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Spatial Morphing Kernel Regression for Feature Interpolation. ICIP 2018: 2182-2186 - [i5]Yi Zhu, Xueqing Deng, Shawn D. Newsam:
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. CoRR abs/1802.02668 (2018) - [i4]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Spatial Morphing Kernel Regression For Feature Interpolation. CoRR abs/1802.07452 (2018) - [i3]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 abs/1806.05129 (2018) - [i2]Weixun Zhou, Xueqing Deng, Zhenfeng Shao:
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval. CoRR abs/1807.08634 (2018) - 2017
- [c1]Xueqing Deng, Shawn D. Newsam:
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. UrbanGIS@SIGSPATIAL 2017: 4:1-4:8 - [i1]Xueqing Deng, Shawn D. Newsam:
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. CoRR abs/1711.03641 (2017)
Coauthor Index
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