2 citations · 2 across the 19 of their papers we have counts for
20 papers
InscriptionOCR: A Dataset and Method for Understanding Inscriptions
Jaidev Sanjay Khalane, Akbar Ali, V. N. Prabhakar +1
Ancient script image restoration is a fundamental problem in computer vision, as it directly affects the reliable analysis and interpretation of historical documents and inscriptio…
Stabilizing Camera-Controlled Novel View Synthesis at Inference Time
Prajwal Singh, Arjun Badola, Seema Kumari +2
Training-free, camera-controlled novel view synthesis from a single image using pre-trained video diffusion models often becomes unstable under large camera motion and long generat…
Differentiable Packing of Irregular 3D Objects with Adaptive Container Estimation
Palak Gupta, Shanmuganathan Raman
Most existing approaches either fix the container in advance or optimize only a single container dimension through an outer search loop, leaving the remaining dimensions as a manua…
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
Anupam Sharma, Harish Katti, Prajwal Singh +2
An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based class…
FlowIID: Single-Step Intrinsic Image Decomposition via Latent Flow Matching
Mithlesh Singla, Seema Kumari, Shanmuganathan Raman
Intrinsic Image Decomposition (IID) separates an image into albedo and shading components. It is a core step in many real-world applications, such as relighting and material editin…
UnCageNet: Tracking and Pose Estimation of Caged Animal
Sayak Dutta, Harish Katti, Shashikant Verma +1
Animal tracking and pose estimation systems, such as STEP (Simultaneous Tracking and Pose Estimation) and ViTPose, experience substantial performance drops when processing images a…
TensoIS: A Step Towards Feed-Forward Tensorial Inverse Subsurface Scattering for Perlin Distributed Heterogeneous Media
Ashish Tiwari, Satyam Bhardwaj, Yash Bachwana +4
Estimating scattering parameters of heterogeneous media from images is a severely under-constrained and challenging problem. Most of the existing approaches model BSSRDF either thr…
PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads
Shashikant Verma, Shanmuganathan Raman
Achieving realistic hair strand synthesis is essential for creating lifelike digital humans, but producing high-fidelity hair strand geometry remains a significant challenge. Exist…
COT-AD: Cotton Analysis Dataset
Akbar Ali, Mahek Vyas, Soumyaratna Debnath +7
This paper presents COT-AD, a comprehensive Dataset designed to enhance cotton crop analysis through computer vision. Comprising over 25,000 images captured throughout the cotton g…
SemFaceEdit: Semantic Face Editing on Generative Radiance Manifolds
Shashikant Verma, Shanmuganathan Raman
Despite multiple view consistency offered by 3D-aware GAN techniques, the resulting images often lack the capacity for localized editing. In response, generative radiance manifolds…
Beyond Reconstruction: What EEG-to-Video Decoding Actually Recovers
Prajwal Singh, Anupam Sharma, Pankaj Pandey +2
Reconstructing dynamic visual stimuli from EEG recordings is challenging due to the noisy, non-stationary nature of EEG signals and the limited availability of EEG-video datasets.…
RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar +1
Recent advancements in learning-based methods have opened new avenues for exploring and interpreting art forms, such as shadow art, origami, and sketch art, through computational m…
STEP: Simultaneous Tracking and Estimation of Pose for Animals and Humans
Shashikant Verma, Harish Katti, Soumyaratna Debnath +2
We introduce STEP, a novel framework utilizing Transformer-based discriminative model prediction for simultaneous tracking and estimation of pose across diverse animal species and…
L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild
Soumyaratna Debnath, Harish Katti, Shashikant Verma +1
While 2D pose estimation has advanced our ability to interpret body movements in animals and primates, it is limited by the lack of depth information, constraining its application…
BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning
Prajwal Singh, Gautam Vashishtha, Indra Deep Mastan +1
The success of deep learning in supervised fine-grained recognition for domain-specific tasks relies heavily on expert annotations. The Open-Set for fine-grained Self-Supervised Le…
ScribGen: Generating Scribble Art Through Metaheuristics
Soumyaratna Debnath, Ashish Tiwari, Shanmuganathan Raman
Art has long been a medium for individuals to engage with the world. Scribble art, a form of abstract visual expression, features spontaneous, gestural strokes made with pens or br…
Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives
Prajwal Singh, Ashish Tiwari, Gautam Vashishtha +1
Neural radiance fields (NeRF) have revolutionized photorealistic rendering of novel views for 3D scenes. Despite their growing popularity and efficiency as 3D resources, NeRFs face…
LIPIDS: Learning-based Illumination Planning In Discretized (Light) Space for Photometric Stereo
Ashish Tiwari, Mihir Sutariya, Shanmuganathan Raman
Photometric stereo is a powerful method for obtaining per-pixel surface normals from differently illuminated images of an object. While several methods address photometric stereo w…
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo
Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman
Photometric stereo typically demands intricate data acquisition setups involving multiple light sources to recover surface normals accurately. In this paper, we propose MERLiN, an…
SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization
Ashish Tiwari, Shanmuganathan Raman
We present a novel inverse rendering-based framework to estimate the 3D shape (per-pixel surface normals and depth) of objects and scenes from single-view polarization images, the…