David S. Doermann

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 123

Top Venues

Publications

Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David S. Doermann, Junsong Yuan, Lijuan Wang
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation. CoRR (2024)
Yuanhao Zhai, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David S. Doermann, Junsong Yuan, Zicheng Liu, Lijuan Wang
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation. CoRR (2024)
Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David S. Doermann, Qixiang Ye, Yunjie Tian
Artemis: Towards Referential Understanding in Complex Videos. CoRR (2024)
Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann
Federated Learning via Input-Output Collaborative Distillation. AAAI (2024)
Jaakko J. Sauvola, Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, David S. Doermann
Future of software development with generative AI. Autom. Softw. Eng. 31 (1) (2024)
Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Yuan Zhang, David S. Doermann, Qixiang Ye
ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding. CoRR (2024)
Saurav Sagar, Mohammed Javed, David S. Doermann
Leaf-Based Plant Disease Detection and Explainable AI. CoRR (2024)
Alireza Alaei, Vinh Bui, David S. Doermann, Umapada Pal
Document Image Quality Assessment: A Survey. ACM Comput. Surv. 56 (2) (2024)
Pengyu Yan, Mahesh Bhosale, Jay Lal, Bikhyat Adhikari, David S. Doermann
ChartReformer: Natural Language-Driven Chart Image Editing. CoRR (2024)
Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu
Federated Learning With Privacy-Preserving Ensemble Attention Distillation. IEEE Trans. Medical Imaging 42 (7) (2023)
Mahesh Bhosale, Abhishek Kumar, David S. Doermann
Player Re-Identification Using Body Part Appearences. CoRR (2023)
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua
SOAR: Scene-debiasing Open-set Action Recognition. ICCV (2023)
Anurag Dhote, Mohammed Javed, David S. Doermann
A Survey and Approach to Chart Classification. ICDAR Workshops (1) (2023)
Anurag Dhote, Mohammed Javed, David S. Doermann
A Survey and Approach to Chart Classification. CoRR (2023)
Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan
Language-guided Human Motion Synthesis with Atomic Actions. CoRR (2023)
Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang
Anti-Bandit for Neural Architecture Search. Int. J. Comput. Vis. 131 (10) (2023)
Saleem Ahmed, Pengyu Yan, David S. Doermann, Srirangaraj Setlur, Venu Govindaraju
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding. CoRR (2023)
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS (2023)
Pengyu Yan, Saleem Ahmed, David S. Doermann
Context-Aware Chart Element Detection. CoRR (2023)
Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. CoRR (2023)
Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR (2023)
Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu
Progressive Multi-View Human Mesh Recovery with Self-Supervision. AAAI (2023)
Jay Lal, Aditya Mitkari, Mahesh Bhosale, David S. Doermann
LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation. CoRR (2023)
Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. ICCV (2023)
Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David S. Doermann, Junsong Yuan, Gang Hua
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Saleem Ahmed, Pengyu Yan, David S. Doermann, Srirangaraj Setlur, Venu Govindaraju
SpaDen: Sparse and Dense Keypoint Estimation for Real-World Chart Understanding. ICDAR (2) (2023)
Jay Lal, Aditya Mitkari, Mahesh Bhosale, David S. Doermann
LineFormer: Line Chart Data Extraction Using Instance Segmentation. ICDAR (5) (2023)
Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan
Language-guided Human Motion Synthesis with Atomic Actions. ACM Multimedia (2023)
Anurag Dhote, Mohammed Javed, David S. Doermann
A Survey on Figure Classification Techniques in Scientific Documents. CoRR (2023)
Pengyu Yan, Saleem Ahmed, David S. Doermann
Context-Aware Chart Element Detection. ICDAR (1) (2023)
Liangchen Song, Xuan Gong, Helong Zhou, Jiajie Chen, Qian Zhang, David S. Doermann, Junsong Yuan
Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation. ACM Multimedia (2023)
Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann
Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. Int. J. Comput. Vis. 131 (1) (2023)
Abhinandan Kumar Pun, Mohammed Javed, David S. Doermann
A Survey on Change Detection Techniques in Document Images. CoRR (2023)
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua
SOAR: Scene-debiasing Open-set Action Recognition. CoRR (2023)
Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David S. Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu
PREF: Predictability Regularized Neural Motion Fields. CoRR (2022)
Sicheng Gao, Yutang Feng, Linlin Yang, Xuhui Liu, Zichen Zhu, David S. Doermann, Baochang Zhang
MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. BMVC (2022)
Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. CoRR (2022)
Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. CoRR (2022)
Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. AAAI (2022)
Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann
BiRe-ID: Binary Neural Network for Efficient Person Re-ID. ACM Trans. Multim. Comput. Commun. Appl. 18 (1s) (2022)
Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, David S. Doermann, Raghavendra Ramachandra, Tong Lu, Michael Blumenstein
A Knowledge Enforcement Network-Based Approach for Classifying a Photographer's Images. Int. J. Pattern Recognit. Artif. Intell. 36 (15) (2022)
Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, David S. Doermann
iffDetector: Inference-Aware Feature Filtering for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun
Data-adaptive binary neural networks for efficient object detection and recognition. Pattern Recognit. Lett. 153 (2022)
Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu
Progressive Multi-view Human Mesh Recovery with Self-Supervision. CoRR (2022)
Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann
Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. WACV (2022)
Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR (2022)
Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. ECCV (1) (2022)
Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu
Federated Learning with Privacy-Preserving Ensemble Attention Distillation. CoRR (2022)
Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo
Towards Compact 1-bit CNNs via Bayesian Learning. Int. J. Comput. Vis. 130 (2) (2022)
Jarkko Hyysalo, Sandun Dasanayake, Jari Hannu, Christian Schuss, Mikko Rajanen, Teemu Leppänen, David S. Doermann, Jaakko J. Sauvola
Smart mask - Wearable IoT solution for improved protection and personal health. Internet Things 18 (2022)
Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Zhibo Zhang, Yanjun Zhu, Rahul Rai, David S. Doermann
PIMNet: Physics-Infused Neural Network for Human Motion Prediction. IEEE Robotics Autom. Lett. 7 (4) (2022)
Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David S. Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu
PREF: Predictability Regularized Neural Motion Fields. ECCV (22) (2022)
Xuan Gong, Shuyan Chen, Baochang Zhang, David S. Doermann
Style Consistent Image Generation for Nuclei Instance Segmentation. WACV (2021)
Mingyuan Mao, Baochang Zhang, David S. Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections. CoRR (2021)
Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction. SMC (2021)
Duona Zhang, Wenrui Ding, Baochang Zhang, Chunhui Liu, Jungong Han, David S. Doermann
Learning modulation filter networks for weak signal detection in noise. Pattern Recognit. 109 (2021)
Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction. CoRR (2021)
Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann
Cogradient Descent for Dependable Learning. CoRR (2021)
Manan Oza, Sukalpa Chanda, David S. Doermann
Semantic Text-to-Face GAN -ST^2FG. CoRR (2021)
Leighton Collins, Payam Ghassemi, Ehsan Tarkesh Esfahani, David S. Doermann, Karthik Dantu, Souma Chowdhury
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas. ICRA (2021)
Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
Ensemble Attention Distillation for Privacy-Preserving Federated Learning. ICCV (2021)
Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning. CoRR (2021)
Yuanhao Zhai, Le Wang, David S. Doermann, Junsong Yuan
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track. CoRR (2021)
Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann
Uncertainty-aware Binary Neural Networks. IJCAI (2021)
Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann
IDARTS: Interactive Differentiable Architecture Search. ICCV (2021)
Song Xue, Hanlin Chen, Chunyu Xie, Baochang Zhang, Xuan Gong, David S. Doermann
Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning. IEEE Comput. Intell. Mag. 16 (3) (2021)
Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV (2021)
Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann
Layer-Wise Searching for 1-Bit Detectors. CVPR (2021)
Kenny Davila, Srirangaraj Setlur, David S. Doermann, Bhargava Urala Kota, Venu Govindaraju
Chart Mining: A Survey of Methods for Automated Chart Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129 (2) (2021)
Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David S. Doermann
Rectified Binary Convolutional Networks with Generative Adversarial Learning. Int. J. Comput. Vis. 129 (4) (2021)
Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo
Associative Adversarial Learning Based on Selective Attack. CoRR (2021)
Amir Behjat, Hemanth Manjunatha, Prajit Krisshna Kumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph P. Distefano, David S. Doermann, Karthik Dantu, Ehsan Tarkesh Esfahani, Souma Chowdhury
Learning Robot Swarm Tactics over Complex Adversarial Environments. MRS (2021)
Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann
Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes. ICRA (2021)
Bulla Rajesh, Priyanshu Jain, Mohammed Javed, David S. Doermann
HH-CompWordNet: Holistic Handwritten Word Recognition in the Compressed Domain. DCC (2021)
Leighton Collins, Payam Ghassemi, Ehsan Tarkesh Esfahani, David S. Doermann, Karthik Dantu, Souma Chowdhury
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas. CoRR (2021)
Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph P. Distefano, David S. Doermann, Karthik Dantu, Ehsan Tarkesh Esfahani, Souma Chowdhury
Learning Robot Swarm Tactics over Complex Adversarial Environments. CoRR (2021)
Zhibo Zhang, Rahul Rai, Souma Chowdhury, David S. Doermann
MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems. Neurocomputing 428 (2021)
Teli Ma, Mingyuan Mao, Honghui Zheng, Peng Gao, Xiaodi Wang, Shumin Han, Errui Ding, Baochang Zhang, David S. Doermann
Oriented Object Detection with Transformer. CoRR (2021)
Hemanth Manjunatha, Joseph P. Distefano, Apurv Jani, Payam Ghassemi, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani
Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams. SMC (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR (2020)
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. IJCAI (2020)
Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann
NAS-Count: Counting-by-Density with Neural Architecture Search. CoRR (2020)
Chunlei Liu, Wenrui Ding, Yuan Hu, Xin Xia, Baochang Zhang, Jianzhuang Liu, David S. Doermann
Circulant Binary Convolutional Networks for Object Recognition. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann
NAS-Count: Counting-by-Density with Neural Architecture Search. ECCV (22) (2020)
Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji
Cogradient Descent for Bilinear Optimization. CoRR (2020)
Teli Ma, Yizhi Wang, Jinxin Shao, Baochang Zhang, David S. Doermann
Orthogonal Features Fusion Network for Anomaly Detection. VCIP (2020)
Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo
Cogradient Descent for Bilinear Optimization. CVPR (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
Binarized Neural Architecture Search. AAAI (2020)
Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, Guodong Guo, David S. Doermann
iffDetector: Inference-aware Feature Filtering for Object Detection. CoRR (2020)
Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann
The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. ICPR Workshops (8) (2020)
Wenyu Zhao, Teli Ma, Xuan Gong, Baochang Zhang, David S. Doermann
A Review of Recent Advances of Binary Neural Networks for Edge Computing. CoRR (2020)
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann
Anti-bandit Neural Architecture Search for Model Defense. ECCV (13) (2020)
Amir Behjat, Chen Zeng, Rahul Rai, Ion Matei, David S. Doermann, Souma Chowdhury
A physics-aware learning architecture with input transfer networks for predictive modeling. Appl. Soft Comput. 96 (2020)
Yanjun Zhu, David S. Doermann, Yanxia Zhang, Qiong Liu, Andreas Girgensohn
What and How? Jointly Forecasting Human Action and Pose. ICPR (2020)
Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo
Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR (2020)
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. CoRR (2020)
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann
Anti-Bandit Neural Architecture Search for Model Defense. CoRR (2020)
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR (2019)

David S. Doermann.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David S. Doermann