Dengxin Dai

11.6k total citations · 7 hit papers
91 papers, 4.8k citations indexed

About

Dengxin Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dengxin Dai has authored 91 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Dengxin Dai's work include Domain Adaptation and Few-Shot Learning (25 papers), Advanced Neural Network Applications (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Dengxin Dai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (25 papers), Advanced Neural Network Applications (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Dengxin Dai collaborates with scholars based in Switzerland, Belgium and China. Dengxin Dai's co-authors include Luc Van Gool, Christos Sakaridis, Lukas Hoyer, Wen Yang, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Wouter Van Gansbeke, Olga Fink and Qin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Dengxin Dai

85 papers receiving 4.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Semantic Foggy Scene Understanding with Synthetic Data

2018 751 citations Christos Sakaridis, Dengxin Dai et al. International Journal of Computer Vision profile →
Multi-Task Learning for Dense Prediction Tasks: A Survey

2021 525 citations Dengxin Dai, Luc Van Gool et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

2022 350 citations Lukas Hoyer, Dengxin Dai et al. profile →
Continual Test-Time Domain Adaptation

2022 199 citations Luc Van Gool, Dengxin Dai et al. profile →
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

2023 152 citations Lukas Hoyer, Dengxin Dai et al. profile →
Decoupling Zero-Shot Semantic Segmentation

2022 140 citations Jian Ding, Gui-Song Xia et al. profile →
Deep Gradient Learning for Efficient Camouflaged Object Detection

2023 132 citations Ge-Peng Ji, Deng-Ping Fan et al. PubMed Central profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dengxin Dai Switzerland	32	3.3k	1.8k	822	495	316	91	4.8k
Chunjing Xu China	23	4.4k 1.3×	1.4k 0.7×	1.2k 1.4×	588 1.2×	150 0.5×	63	6.3k
Yunhe Wang China	29	5.0k 1.5×	2.0k 1.1×	1.3k 1.6×	571 1.2×	150 0.5×	88	7.4k
Lingxi Xie China	36	5.5k 1.7×	2.8k 1.5×	689 0.8×	796 1.6×	334 1.1×	119	8.2k
Baochang Zhang China	41	5.5k 1.7×	2.4k 1.3×	908 1.1×	588 1.2×	94 0.3×	228	7.3k
Enze Xie China	21	4.8k 1.5×	1.6k 0.9×	1.6k 1.9×	586 1.2×	218 0.7×	32	6.6k
Tong He China	21	5.8k 1.8×	1.8k 1.0×	1.3k 1.6×	1.3k 2.6×	237 0.8×	69	8.0k
Yuwen Xiong Canada	10	3.9k 1.2×	886 0.5×	767 0.9×	644 1.3×	195 0.6×	17	5.1k
Patrick Pérez France	39	4.4k 1.3×	1.8k 1.0×	644 0.8×	1.0k 2.1×	194 0.6×	136	6.3k
Yadong Mu China	26	3.5k 1.1×	1.3k 0.7×	617 0.8×	301 0.6×	174 0.6×	95	4.8k

Countries citing papers authored by Dengxin Dai

Since Specialization

Citations

This map shows the geographic impact of Dengxin Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dengxin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengxin Dai more than expected).

Fields of papers citing papers by Dengxin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dengxin Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dengxin Dai. The network helps show where Dengxin Dai may publish in the future.

Co-authorship network of co-authors of Dengxin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dengxin Dai. A scholar is included among the top collaborators of Dengxin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dengxin Dai. Dengxin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Qi, Mattia Segù, Bernt Schiele, et al.. (2025). Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation. International Journal of Computer Vision. 133(10). 6768–6793.

Sakaridis, Christos, et al.. (2025). ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 2970–2988.

Dai, Dengxin, et al.. (2024). Object-centric Cross-modal Feature Distillation for Event-based Object Detection. 15440–15447. 4 indexed citations

Shi, Shaoshuai, Li Jiang, Dengxin Dai, & Bernt Schiele. (2024). MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3955–3971. 51 indexed citations

Ding, Jian, et al.. (2024). FreePoint: Unsupervised Point Cloud Instance Segmentation. 28254–28263. 4 indexed citations

Liniger, Alexander, et al.. (2024). U-BEV: Height-aware Bird’s-Eye-View Segmentation and Neural Map-based Relocalization. 5597–5604. 2 indexed citations

Zheng, Chaoda, et al.. (2024). Benchmarking the Robustness of LiDAR Semantic Segmentation Models. International Journal of Computer Vision. 132(7). 2674–2697. 7 indexed citations

Dai, Dengxin, et al.. (2024). 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. 7321–7330. 2 indexed citations

Li, Ke, Luc Van Gool, & Dengxin Dai. (2024). Test-Time Training for Hyperspectral Image Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7231–7242.

10.

Dai, Dengxin, et al.. (2023). Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics and Automation Letters. 8(11). 7671–7678. 2 indexed citations

11.

Ji, Ge-Peng, Deng-Ping Fan, Yu-Cheng Chou, et al.. (2023). Deep Gradient Learning for Efficient Camouflaged Object Detection. PubMed Central. 20(1). 92–108. 132 indexed citations breakdown →

12.

Hoyer, Lukas, et al.. (2023). Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. International Journal of Computer Vision. 131(8). 2070–2096. 16 indexed citations

13.

Jiang, Li, Zetong Yang, Shaoshuai Shi, et al.. (2023). Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. 1168–1178. 8 indexed citations

14.

Li, Ke, et al.. (2022). End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics and Automation Letters. 7(2). 2242–2249. 14 indexed citations

15.

Dai, Dengxin, et al.. (2021). Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

16.

Wang, Haoran, et al.. (2021). Scale-Aware Domain Adaptive Faster R-CNN. International Journal of Computer Vision. 129(7). 2223–2243. 83 indexed citations

17.

Dai, Dengxin, et al.. (2020). Depth Estimation from Monocular Images and Sparse Radar Data. 10233–10240. 51 indexed citations

18.

Sakaridis, Christos, Dengxin Dai, & Luc Van Gool. (2018). Semantic Foggy Scene Understanding with Synthetic Data. International Journal of Computer Vision. 126(9). 973–992. 751 indexed citations breakdown →

19.

Dai, Dengxin, Yujian Wang, Yuhua Chen, & Luc J. Van Gool. (2015). How Useful Is Image Super-resolution to Other Vision Tasks?. arXiv (Cornell University). 1 indexed citations

20.

Yang, Wen, Dengxin Dai, Bill Triggs, & Gui-Song Xia. (2012). SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. IEEE Transactions on Image Processing. 21(9). 4232–4243. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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