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20172026
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 97 across the 5 of their papers we have counts for

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10 papers · 1 filter

cs.CV20234 cited

DocTr: Document Transformer for Structured Information Extraction in Documents

Haofu Liao, Aruni RoyChowdhury, Weijian Li +6

We present a new formulation for structured information extraction (SIE) from visually rich documents. It aims to address the limitations of existing IOB tagging or graph-based for…

cs.CV2020

Pose And Joint-Aware Action Recognition

Anshul Shah, Shlok Mishra, Ankan Bansal +3

Recent progress on action recognition has mainly focused on RGB and optical flow features. In this paper, we approach the problem of joint-based action recognition. Unlike other mo…

cs.CV2020

Visual Question Answering on Image Sets

Ankan Bansal, Yuting Zhang, Rama Chellappa

We introduce the task of Image-Set Visual Question Answering (ISVQA), which generalizes the commonly studied single-image VQA problem to multi-image settings. Taking a natural lang…

cs.CV20202 cited

Spatial Priming for Detecting Human-Object Interactions

Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava +1

The relative spatial layout of a human and an object is an important cue for determining how they interact. However, until now, spatial layout has been used just as side-informatio…

cs.CV2019

How are attributes expressed in face DCNNs?

Prithviraj Dhar, Ankan Bansal, Carlos D. Castillo +3

As deep networks become increasingly accurate at recognizing faces, it is vital to understand how these networks process faces. While these networks are solely trained to recognize…

cs.CV2019

Detecting Human-Object Interactions via Functional Generalization

Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava +1

We present an approach for detecting human-object interactions (HOIs) in images, based on the idea that humans interact with functionally similar objects in a similar manner. The p…