12 citations · 20 across the 6 of their papers we have counts for
5 papers
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition
Neel Trivedi, Ravi Kiran Sarvadevabhatla
Pose-based action recognition is predominantly tackled by approaches which treat the input skeleton in a monolithic fashion, i.e. joints in the pose tree are processed as a whole.…
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems
Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu
An examination of object recognition challenge leaderboards (ILSVRC, PASCAL-VOC) reveals that the top-performing classifiers typically exhibit small differences amongst themselves…
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition
Ravi Kiran Sarvadevabhatla, Jogendra Kundu, Babu R. Venkatesh
Freehand sketching is an inherently sequential process. Yet, most approaches for hand-drawn sketch recognition either ignore this sequential aspect or exploit it in an ad-hoc manne…
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi +1
Current state of the art object recognition architectures achieve impressive performance but are typically specialized for a single depictive style (e.g. photos only, sketches only…
Category-Epitomes : Discriminatively Minimalist Representations for Object Categories
Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
Freehand line sketches are an interesting and unique form of visual representation. Typically, such sketches are studied and utilized as an end product of the sketching process. Ho…