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20162022
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 296 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

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.CV20209 cited

Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition

Prithviraj Dhar, Joshua Gleason, Hossein Souri +2

State-of-the-art deep networks implicitly encode gender information while being trained for face recognition. Gender is often viewed as an important attribute with respect to ident…

cs.CV202010 cited

Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition

Hui Ding, Peng Zhou, Rama Chellappa

Recognizing the expressions of partially occluded faces is a challenging computer vision problem. Previous expression recognition methods, either overlooked this issue or resolved…

cs.CV2020

The 4th AI City Challenge

Milind Naphade, Shuo Wang, David Anastasiu +7

The AI City Challenge was created to accelerate intelligent video analysis that helps make cities smarter and safer. Transportation is one of the largest segments that can benefit…

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.CV2020

The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification

Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen +1

In recent years, the research community has approached the problem of vehicle re-identification (re-id) with attention-based models, specifically focusing on regions of a vehicle c…