Zhenkun Wang
5 Papers
3 Citations
Zhenkun Wang is an academic researcher. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 2, co-authored 5 publications.
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Papers
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection
Saurav Sharma,Deepak Alapatt,Kun Yuan,Wolfgang Reiter,Amine Yamlahi,Guoyan Zheng,Helena R. Torres,Satoshi Kondo,Felix Holm,Shuangchun Gui,Sista Raviteja,Rachana Sathish,B N Bhattarai,Guo Rui,Melanie Schellenberg,Zhenkun Wang,Shrawan Kumar Thapa,Thuy Nuong Tran,Jaime C. Fonseca,Pietro Mascagni,Chinedu Innocent Nwoye,Tong Yu,Aditya Murali,Armine Vardazaryan,Jonas Hajek,Finn-Henri Smidt,Xiaoyang Zou,Bruno Oliveira,Satoshi Kasai,Ege Özsoy,Han Li,Pranav Poudel,Ziheng Wang,Joao L. Vilacca,Tobias Czempiel,Debdoot Sheet,Max Berniker,Patrick Godau,Pedro Morais,S. Regmi,Jan-Hinrich Nolke,Estevão Lima,Eduard Vazquez,Lena Maier-Hein,Nassir Navab,Barbara Seeliger,Cristians Gonzalez,Didier Mutter,Nicolas Padoy +48 more
TL;DR: The CholecTriplet2022 challenge as discussed by the authors extended surgical action triplet modeling from recognition to detection, which includes weakly-supervised bounding box localization of every visible surgical instrument (or tool), as the key actors, and modeling of each tool-activity in the form of triplet.
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection
Chinedu Innocent Nwoye,Tong Yu,Saurav Sharma,Aditya Murali,Deepak Alapatt,Kun Yuan,Jonas Hajek,Wolfgang Reiter,Xiaoyang Zou,Bruno Oliveira,Helena R. Torres,Felix Holm,Ege Özsoy,Sista Raviteja,Rachana Sathish,Pranav Poudel,Guo Rui,Tobias Czempiel,Zhenkun Wang,Shrawan Kumar Thapa,Thuy Nuong Tran,Lena Maier-Hein,Nassir Navab,Cristians Gonzalez,Armine Vardazaryan,Amine Yamlahi,Finn-Henri Smidt,Guoyan Zheng,Satoshi Kondo,Satoshi Kasai,Shuangchun Gui,Han Li,B N Bhattarai,Ziheng Wang,Melanie Schellenberg,Joao L. Vilacca,Debdoot Sheet,Max Berniker,Patrick Godau,Pedro Morais,S. Regmi,Jaime C. Fonseca,Jan-Hinrich Nolke,Estevão Lima,Eduard Vazquez,Pietro Mascagni,Barbara Seeliger,Didier Mutter,Nicolas Padoy +48 more
TL;DR: The CholecTriplet2022 challenge as mentioned in this paper extended surgical action triplet modeling from recognition to detection, which includes weakly-supervised bounding box localization of every visible surgical instrument (or tool), as the key actors, and modeling of each tool-activity in the form of triplet.
4
Single image super-resolution via deep learning
Zhenyue Cao,Xue Liu,Zhenkun Wang +2 more
- 20 May 2022
TL;DR: Three widely used deep architectures: convolutional neural network (CNN), generative adversarial network (GAN), and transformer are explained and six different deep learning-based models that summarize research on SISR are analyzed.
1
Researches advanced in object tracking based on deep learning
Ziyuan Lu,Zhenkun Wang +1 more
- 10 Nov 2022
TL;DR: In this article , a survey of representative object tracking methods based on deep learning from the perspective of convolutional neural networks, recurrent neural network, generative adversarial networks, autoencoders and other models is presented.
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
TL;DR: In this article , Li et al. proposed to learn more interpretable and efficient prototypes from prior knowledge and the intrinsic semantics of relations to extract new relations in various domains more effectively.