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20182025
most citedEnhancing Salient Object Segmentation Through Attention

3 citations · 3 across the 2 of their papers we have counts for

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cs.CV2025

Gaussian Pixel Codec Avatars: A Hybrid Representation for Efficient Rendering

Divam Gupta, Anuj Pahuja, Nemanja Bartolovic +3

We present Gaussian Pixel Codec Avatars (GPiCA), photorealistic head avatars that can be generated from multi-view images and efficiently rendered on mobile devices. GPiCA utilizes…

cs.CV2024

SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars

Forrest Iandola, Stanislav Pidhorskyi, Igor Santesteban +7

Gaussian-based human avatars have achieved an unprecedented level of visual fidelity. However, existing approaches based on high-capacity neural networks typically require a deskto…

cs.CV2020

High Accuracy Face Geometry Capture using a Smartphone Video

Shubham Agrawal, Anuj Pahuja, Simon Lucey

What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so…

cs.CV20193 cited

Enhancing Salient Object Segmentation Through Attention

Anuj Pahuja, Avishek Majumder, Anirban Chakraborty +1

Segmenting salient objects in an image is an important vision task with ubiquitous applications. The problem becomes more challenging in the presence of a cluttered and textured ba…

cs.CV2018

AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation

Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja +1

Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccu…