Bo Chen - RankMe

23 papers A* 2A 2Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Asynchronous Optimisation for Event-based Visual Odometry. ICRA Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
2022	J	`jnl`	Asynchronous Optimisation for Event-based Visual Odometry. CoRR Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
2022	A	`conf`	Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV Bo Chen, Tat-Jun Chin, Marius Klimavicius
2022	A	`conf`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2022	—	`conf`	Update Compression for Deep Neural Networks on the Edge. CVPR Workshops Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2022	J	`jnl`	Update Compression for Deep Neural Networks on the Edge. CoRR Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2021	—	`conf`	A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops Dung Anh Hoang, Bo Chen, Tat-Jun Chin
2021	J	`jnl`	A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR Dung Anh Hoang, Bo Chen, Tat-Jun Chin
2021	J	`jnl`	Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
2021	J	`jnl`	Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR Bo Chen, Tat-Jun Chin, Marius Klimavicius
2021	J	`jnl`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2021	—	`conf`	Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo
2020	—	`conf`	Anomaly Detection via Neighbourhood Contrast. PAKDD (2) Bo Chen, Kai Ming Ting, Tat-Jun Chin
2020	A*	`conf`	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
2020	J	`jnl`	Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten
2020	J	`jnl`	Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Trans. Signal Process. Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten
2019	J	`jnl`	BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR Bo Chen, Tat-Jun Chin, Nan Li
2019	—	`—`	Mass estimation as a means to address shortcomings of data depth and density. Bo Chen
2019	—	`conf`	Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
2019	J	`jnl`	Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
2018	J	`jnl`	Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu
2018	—	`conf`	Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. PAKDD (3) Bo Chen, Kai Ming Ting
2015	J	`jnl`	Half-space mass: a maximally robust and efficient data depth method. Mach. Learn. Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari