Xueqing Deng

52 papers A* 7A 2B 1C 1Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation.
CoRR
Xueqing Deng, Qihang Yu, Ali Athar, Chenglin Yang, Linjie Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen
2025 J jnl
Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding.
CoRR
Tao Zhang, Xiangtai Li, Zilong Huang, Yanwei Li, Weixian Lei, Xueqing Deng, Shihao Chen, Shunping Ji, Jiashi Feng
2025 J jnl
Self-Consistency as a Free Lunch: Reducing Hallucinations in Vision-Language Models via Self-Reflection.
CoRR
Mingfei Han, Haihong Hao, Jinxing Zhou, Zhihui Li, Yuhui Zheng, Xueqing Deng, Linjie Yang, Xiaojun Chang
2025 A* conf
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation.
CVPR
Ali Athar, Xueqing Deng, Liang-Chieh Chen
2025 J jnl
Visual Reasoning Tracer: Object-Level Grounded Reasoning Benchmark.
CoRR
Haobo Yuan, Yueyi Sun, Yanwei Li, Tao Zhang, Xueqing Deng, Henghui Ding, Lu Qi, Anran Wang, Xiangtai Li, Ming-Hsuan Yang
2025 J jnl
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception.
CoRR
Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang
2024 J jnl
1.58-bit FLUX.
CoRR
Chenglin Yang, Celong Liu, Xueqing Deng, Dongwon Kim, Xing Mei, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories.
Trans. Mach. Learn. Res.
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
2024 A* conf
An Image is Worth 32 Tokens for Reconstruction and Generation.
NeurIPS
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
An Image is Worth 32 Tokens for Reconstruction and Generation.
CoRR
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 A* conf
COCONut: Modernizing COCO Segmentation.
CVPR
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
COCONut: Modernizing COCO Segmentation.
CoRR
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024 A* conf
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
CVPR
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
2024 J jnl
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
CoRR
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
2024 A* conf
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval.
CVPR
Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng
2024 J jnl
MaskBit: Embedding-free Image Generation via Bit Tokens.
CoRR
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
MaskBit: Embedding-free Image Generation via Bit Tokens.
Trans. Mach. Learn. Res.
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
Randomized Autoregressive Visual Generation.
CoRR
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation.
CoRR
Ali Athar, Xueqing Deng, Liang-Chieh Chen
2023 A* conf
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.
NeurIPS
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023 J jnl
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.
CoRR
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023 J jnl
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation.
CoRR
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2023 J jnl
Selective Feature Adapter for Dense Vision Transformers.
CoRR
Xueqing Deng, Qi Fan, Xiaojie Jin, Linjie Yang, Peng Wang
2022 J jnl
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization.
CoRR
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
2022 — conf
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization.
ECCV (34)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
2022 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
CoRR
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
2022 A* conf
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night.
CVPR
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
2022 J jnl
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night.
CoRR
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
2022 J jnl
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).
ACM SIGSPATIAL Special
Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai
2021 J jnl
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2021 — —
Generalization and Adaptation of Deep Learning Models for Semantic Segmentation.
Xueqing Deng
2021 — conf
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.
GIScience (I)
Xueqing Deng, Yuxin Tian, Shawn D. Newsam
2021 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
ACM SIGSPATIAL Special
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng
2021 — ed.
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021
GeoAI@SIGSPATIAL
Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam
2021 A conf
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.
WACV
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2021 J jnl
aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Bioinform.
Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li
2020 J jnl
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.
BMC Bioinform.
Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li
2020 A conf
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features.
WACV
Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam
2020 J jnl
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhenfeng Shao, Weixun Zhou, Xueqing Deng, Maoding Zhang, Qimin Cheng
2020 J jnl
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2019 J jnl
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.
IEEE Trans. Multim.
Yi Zhu, Xueqing Deng, Shawn D. Newsam
2019 J jnl
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2019 C conf
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning.
IGARSS
Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga
2019 J jnl
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 J jnl
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.
CoRR
Yi Zhu, Xueqing Deng, Shawn D. Newsam
2018 J jnl
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval.
CoRR
Weixun Zhou, Xueqing Deng, Zhenfeng Shao
2018 J jnl
Spatial Morphing Kernel Regression For Feature Interpolation.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 B conf
Spatial Morphing Kernel Regression for Feature Interpolation.
ICIP
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 J jnl
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 — conf
What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks.
SIGSPATIAL/GIS
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2017 — conf
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use.
UrbanGIS@SIGSPATIAL
Xueqing Deng, Shawn D. Newsam
2017 J jnl
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use.
CoRR
Xueqing Deng, Shawn D. Newsam