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Hi there πŸ‘‹

πŸ’¬ I completed Doctor of Philosphy (PhD) in 2022 (October), focussing on Computer Vision and Deep Learning, from SketchX Lab, Centre for Vision, Speech and Signal Processing (CVSSP) of the University of Surrey, England, United Kingdom (UK) under the supervision of Prof. Yi-Zhe Song (SonG) and Prof. Tao Xiang (Tony).

πŸ’¬ Currently, I am working as a Senior Research Scientist (Computer Vision) with Prof. Yiannis Andreopoulos at iSIZE , a London-based deep-tech company specializing in deep learning for video delivery. During my ongoing tenure with iSIZE, I have led the project on Video Denoising from ground up that introduces a low-cost neural-solution (BitClear) for compressed-video artifacts removal. πŸ”­News Update from iSIZEπŸ”­.

πŸ’¬ BitClear won NAB product of the Year (2022) under AI/ML category: πŸ”­LinkπŸ”­ NAB show is the largest show for media, entertainment and technology.

πŸ’¬ Before staring my PhD, I worked as a full-time research assistant for nearly 1.5 years at the Institute for Media Innovation (IMI) Lab of Nanyang Technological University, Singapore.

πŸ’¬ In 2017, I completed my B.Tech (Bachelor of Technology) from the Institute of Engineering & Management (IEM), Kolkata (India), under the West Bengal University of Technology, majoring in Electronics and Communication Engineering.

πŸ’¬ DBLP Profile: https://dblp.org/pid/171/5204.html

πŸ’¬ Google Scholar: https://tinyurl.com/yc3kxzem

πŸ’¬ Reviewer: CVPR'20-22; ICCV'21, ECCV'22, BMVC'19-21; ACCV'20, WACV'20-22, Siggraph'22, IEEE TIP, IEEE-TPAMI, IJCV.

⚑ Top Venue Publications: 17xCVPR 4xICCV 3xECCV, 1xSiggraph Asia. (13-first authored Top Venue Papers as of Feb 2023)

βœ‰ [email protected] βœ‰ [email protected] βœ‰ [email protected]

πŸ”­ For more details, please visit my homepage: https://ayankumarbhunia.github.io/ β˜‘

⚑⚑⚑ Recent ⚑⚑⚑
πŸ’¬β˜² One 𝐩𝐚𝐩𝐞𝐫 on Sketch-Based 3D Shape Retrieval got accepted in ICCV-2023.

πŸ’¬β˜² Our paper 'What Can Human Sketches Do for Object Detection?' (CVPR'23) has been selected among 12 award candidates, out of 9155 submissions and 2360 accepted papers in CVPR, 2023.

πŸ’¬β˜² Seven 𝐩𝐚𝐩𝐞𝐫𝐬 got accepted in CVPR-2023.

πŸ’¬β˜² Defended my PhD Thesis before Prof. Stella Yu and Prof. Adrian Hilton β€” with No Correction

Ayan Kumar Bhunia's Projects

3doodle icon 3doodle

Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24')

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

adversebinet icon adversebinet

Improving Document Binarization via Adversarial Noise-Texture Augmentation

airobject icon airobject

AirObject: A Temporally Evolving Graph Embedding for Object Identification (CVPR 2022)

atom icon atom

Official implementation of `AToM: Amortized Text-to-Mesh using 2D Diffusion`

attenscriptnetpr icon attenscriptnetpr

This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'

avatarclip icon avatarclip

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

awesome-vaes icon awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

awesome_opensetrecognition_list icon awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

baseline_fgsbir icon baseline_fgsbir

Baseline Triplet Loss Based Model for Fine-Grained Sketch Based Image Retrieval.

basiclfsr icon basiclfsr

Open Source Light Field Toolbox for Super-Resolution

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bayescap icon bayescap

(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

bezier_curve_text_spotting icon bezier_curve_text_spotting

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

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