Sim, Jack

10 publications

CVPR 2021 Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food Quin Thames, Arjun Karpur, Wade Norris, Fangting Xia, Liviu Panait, Tobias Weyand, Jack Sim

CVPR 2020 Google Landmarks Dataset V2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval Tobias Weyand, Andre Araujo, Bingyi Cao, Jack Sim

ECCV 2020 Unifying Deep Local and Global Features for Image Search Bingyi Cao, André Araujo, Jack Sim

WACV 2019 Bringing Vision to the Blind: From Coarse to Fine, One Dollar at a Time Tri Huynh, Jay Pillai, Eunyoung Kim, Kristen Aw, Jack Sim, Ken Goldman, Rui Min

Distill 2019 Computing Receptive Fields of Convolutional Neural Networks André Araujo, Wade Norris, Jack Sim

CVPR 2019 Detect-to-Retrieve: Efficient Regional Aggregation for Image Search Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim

ECCV 2018 CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han

CVPR 2017 BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks Bohyung Han, Jack Sim, Hartwig Adam

ICCV 2017 Large-Scale Image Retrieval with Attentive Deep Local Features Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han

ICCV 2011 Multi-Hypothesis Motion Planning for Visual Object Tracking Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Shi