Personalized face modeling for improved face reconstruction and motion retargeting B Chaudhuri, N Vesdapunt, L Shapiro, B Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 63 | 2020 |
Joint face detection and facial motion retargeting for multiple faces B Chaudhuri, N Vesdapunt, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation Z Lai, N Vesdapunt, N Zhou, J Wu, CP Huynh, X Li, KK Fu, CN Chuah Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 48 | 2023 |
Reda: reinforced differentiable attribute for 3d face reconstruction W Zhu, HT Wu, Z Chen, N Vesdapunt, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
In teacher we trust: Learning compressed models for pedestrian detection J Shen, N Vesdapunt, VN Boddeti, KM Kitani arXiv preprint arXiv:1612.00478, 2016 | 39 | 2016 |
Personalized exposure control using adaptive metering and reinforcement learning H Yang, B Wang, N Vesdapunt, M Guo, SB Kang IEEE transactions on visualization and computer graphics 25 (10), 2953-2968, 2018 | 25 | 2018 |
Crface: Confidence ranker for model-agnostic face detection refinement N Vesdapunt, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
Text entity detection and recognition from images JB Weisberg, N VESDAPUNT US Patent App. 16/023,432, 2020 | 10 | 2020 |
JNR: Joint-based neural rig representation for compact 3D face modeling N Vesdapunt, M Rundle, HT Wu, B Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 8 | 2020 |
Reinforced differentiable attribute for 3D face reconstruction N Vesdapunt, ZHU Wenbin, HT Wu, C Zeyu, B Wang US Patent 11,443,484, 2022 | 7 | 2022 |
Human pose estimation N Vesdapunt, B Wang, Y Jin, P Arsenault US Patent 11,036,975, 2021 | 6 | 2021 |
Real-time burst photo selection using a light-head adversarial network B Wang, N Vesdapunt, U Sinha, L Zhang IEEE Transactions on Image Processing 29, 3065-3077, 2019 | 6 | 2019 |
Automatic blur detection in mobile captured document images: Towards quality check in mobile based document imaging applications G Nunnagoppula, KS Deepak, G Harikrishna, N Rai, PR Krishna, ... 2013 IEEE Second International Conference on Image Information Processing …, 2013 | 6 | 2013 |
Personalized attention-aware exposure control using reinforcement learning H Yang, B Wang, N Vesdapunt, M Guo, SB Kang arXiv preprint arXiv:1803.02269, 53, 2018 | 4 | 2018 |
Reinforced Differentiable Attribute for 3D Face Reconstruction N Vesdapunt, ZHU Wenbin, HT Wu, C Zeyu, B Wang US Patent App. 17/887,001, 2022 | 1 | 2022 |
Automatic Stroke Lesions Segmentation in Diffusion-Weighted MRI N Vesdapunt, N Covavisaruch arXiv preprint arXiv:1803.10385, 2018 | 1 | 2018 |
Comparison of Optimization Methods in Optical Flow Estimation N Vesdapunt, U Sinha arXiv preprint arXiv:1605.00572, 2016 | 1 | 2016 |
HVCLIP: High-dimensional vector in CLIP for unsupervised domain adaptation N Vesdapunt, KK Fu, Y Wu, X Zhang, P Natarajan European Conference on Computer Vision, 36-54, 2025 | | 2025 |
Deep learning on image frames to generate a summary U Sinha, KJ Makwana, M Regalia, WC Chen, JB Weisberg, B Wang, ... US Patent 10,445,586, 2019 | | 2019 |
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation (Supplementary) Z Lai, N Vesdapunt, N Zhou, J Wu, CP Huynh, X Li, KK Fu, CN Chuah | | |