424 citations · 598 across the 8 of their papers we have counts for
5 papers · 1 filter
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar +1
Fine-Grained Visual Classification (FGVC) is an important computer vision problem that involves small diversity within the different classes, and often requires expert annotators t…
Pairwise Confusion for Fine-Grained Visual Classification
Abhimanyu Dubey, Otkrist Gupta, Pei Guo +3
Fine-Grained Visual Classification (FGVC) datasets contain small sample sizes, along with significant intra-class variation and inter-class similarity. While prior work has address…
Deep Learning the City : Quantifying Urban Perception At A Global Scale
Abhimanyu Dubey, Nikhil Naik, Devi Parikh +2
Computer vision methods that quantify the perception of urban environment are increasingly being used to study the relationship between a city's physical appearance and the behavio…
Coreset-Based Adaptive Tracking
Abhimanyu Dubey, Nikhil Naik, Dan Raviv +2
We propose a method for learning from streaming visual data using a compact, constant size representation of all the data that was seen until a given moment. Specifically, we const…
A Light Transport Model for Mitigating Multipath Interference in TOF Sensors
Nikhil Naik, Achuta Kadambi, Christoph Rhemann +3
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obt…