Xueqing Deng

According to our database, Xueqing Deng authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories.

Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen

Trans. Mach. Learn. Res., 2024

Randomized Autoregressive Visual Generation.

Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

CoRR, 2024

MaskBit: Embedding-free Image Generation via Bit Tokens.

Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen

CoRR, 2024

An Image is Worth 32 Tokens for Reconstruction and Generation.

Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen

CoRR, 2024

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.

Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang

CoRR, 2024

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.

Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval.

Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

COCONut: Modernizing COCO Segmentation.

Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation.

Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen

CoRR, 2023

Selective Feature Adapter for Dense Vision Transformers.

Xueqing Deng, Qi Fan, Xiaojie Jin, Linjie Yang, Peng Wang

CoRR, 2023

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.

Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).

Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai

ACM SIGSPATIAL Special, November, 2022

DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization.

Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night.

Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.

Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng

ACM SIGSPATIAL Special, November, 2021

Generalization and Adaptation of Deep Learning Models for Semantic Segmentation.

Xueqing Deng

PhD thesis, 2021

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

CoRR, 2021

aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.

Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li

Bioinform., 2021

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.

Xueqing Deng, Yuxin Tian, Shawn D. Newsam

Proceedings of the 11th International Conference on Geographic Information Science, 2021

2020

Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network.

Zhenfeng Shao, Weixun Zhou, Xueqing Deng, Maoding Zhang, Qimin Cheng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.

Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li

BMC Bioinform., 2020

Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features.

Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.

Yi Zhu, Xueqing Deng, Shawn D. Newsam

IEEE Trans. Multim., 2019

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

CoRR, 2019

Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery.

Xueqing Deng, Yi Zhu, Shawn D. Newsam

CoRR, 2019

Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning.

Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval.

Weixun Zhou, Xueqing Deng, Zhenfeng Shao

CoRR, 2018

Spatial Morphing Kernel Regression for Feature Interpolation.

Xueqing Deng, Yi Zhu, Shawn D. Newsam

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks.

Xueqing Deng, Yi Zhu, Shawn D. Newsam

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use.

Xueqing Deng, Shawn D. Newsam

Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2017