Bernard S. Ghanem, Ph.D.
Affiliations: | 2010 | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Computer Engineering, Computer Science, Electronics and Electrical EngineeringGoogle:
"Bernard Ghanem"Parents
Sign in to add mentorNarendra Ahuja | grad student | 2010 | UIUC | |
(Dynamic textures: Models and applications.) |
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Publications
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Wu J, Li X, Xu S, et al. (2024) Towards Open Vocabulary Learning: A Survey. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Zhang Y, Bai Y, Ding M, et al. (2020) KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild. Ieee Transactions On Neural Networks and Learning Systems |
Zhang Y, Ding M, Bai Y, et al. (2020) Beyond Weakly Supervised: Pseudo Ground Truths Mining for Missing Bounding-Boxes Object Detection Ieee Transactions On Circuits and Systems For Video Technology. 30: 983-997 |
Escorcia V, Dao CD, Jain M, et al. (2020) Guess where? Actor-supervision for spatiotemporal action localization Computer Vision and Image Understanding. 192: 102886 |
Wu B, Shen L, Zhang T, et al. (2020) MAP Inference via L2-Sphere Linear Program Reformulation International Journal of Computer Vision. 128: 1913-1936 |
Zhang Y, Bai Y, Ding M, et al. (2020) Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild International Journal of Computer Vision. 128: 1810-1828 |
Yu X, Shiri F, Ghanem B, et al. (2019) Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Zhang Y, Ding M, Bai Y, et al. (2019) Learning a strong detector for action localization in videos Pattern Recognition Letters. 128: 407-413 |
Zhang Y, Ding M, Bai Y, et al. (2019) Detecting small faces in the wild based on generative adversarial network and contextual information Pattern Recognition. 94: 74-86 |
Zhang Y, Bai Y, Ding M, et al. (2019) Corrigendum to ‘Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes’ [Pattern Recognition 84 (2018) 68-81] Pattern Recognition. 90: 483 |