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20172026
most citedWhy my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks

15 citations · 15 across the 5 of their papers we have counts for

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cs.CV2026

Freq-DP Net: A Dual-Branch Network for Fence Removal using Dual-Pixel and Fourier Priors

Kunal Swami, Sudha Velusamy, Chandra Sekhar Seelamantula

Removing fence occlusions from single images is a challenging task that degrades visual quality and limits downstream computer vision applications. Existing methods often fail on s…

cs.CV2025

DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning

Kunal Swami, Debtanu Gupta, Amrit Kumar Muduli +2

Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have l…

cs.CV2025

Adjust Your Focus: Defocus Deblurring From Dual-Pixel Images Using Explicit Multi-Scale Cross-Correlation

Kunal Swami

Defocus blur is a common problem in photography. It arises when an image is captured with a wide aperture, resulting in a shallow depth of field. Sometimes it is desired, e.g., in…

cs.CV2023

MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results

Qingpeng Zhu, Wenxiu Sun, Yuekun Dai +20

Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completio…

cs.CV2020

AcED: Accurate and Edge-consistent Monocular Depth Estimation

Kunal Swami, Prasanna Vishnu Bondada, Pankaj Kumar Bajpai

Single image depth estimation is a challenging problem. The current state-of-the-art method formulates the problem as that of ordinal regression. However, the formulation is not fu…

cs.CV2019

DISCO: Depth Inference from Stereo using Context

Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri +2

Recent deep learning based approaches have outperformed classical stereo matching methods. However, current deep learning based end-to-end stereo matching methods adopt a generic e…