B. G. Vijay Kumar

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 10

Top Topics

Dictionary Learning

Depth Estimation

Theoretically Sound

Top Venues

Publications

Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) (2022)
Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) (2022)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR (2019)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR (2019)
Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR (2018)
Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) (2018)
Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) (2018)
B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond
Smart Mining for Deep Metric Learning. CoRR (2017)
Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) (2016)
B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR (2015)
B. G. Vijay Kumar, Ioannis Patras
Supervised dictionary learning for action localization. FG (2013)
B. G. Vijay Kumar, Ioannis Patras
Learning codebook weights for action detection. CVPR Workshops (2012)
B. G. Vijay Kumar, Irene Kotsia, Ioannis Patras
Max-margin Non-negative Matrix Factorization. Image Vis. Comput. 30 (4-5) (2012)
B. G. Vijay Kumar, Ioannis Patras, Irene Kotsia
Max-Margin Semi-NMF. BMVC (2011)
B. G. Vijay Kumar, Rangarajan Aravind
Face hallucination using OLPP and Kernel Ridge Regression. ICIP (2008)
B. G. Vijay Kumar, Rangarajan Aravind
A 2D model for face superresolution. ICPR (2008)