Machine Learning and Computer Vision expert. Former Assistant Professor at the Department of Engineering, University of Cambridge
Joined October 2011
- Tweets 196
- Following 2,316
- Followers 516
- Likes 122
10 Photos and videos
Ignas Budvytis retweeted
17 Dec 2024
Locally controlling SMPL body shape has uses in 3D shape estimation and generation. Check out the following repo for body-part-based modification of SMPL shape. There is a lot of room for research and improvements!
Code: github.com/akashsengupta1997…
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Ignas Budvytis retweeted
21 May 2024
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
Fotios Logothetis, @IgnasBud, @robertocipolla
tl;dr: pixel intensity->3D shape; model point light attenuation, explicitly raytrace cast shadows and optimise a fully neural material renderer
arxiv.org/pdf/2405.12057
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Ignas Budvytis retweeted
4 Apr 2024
Task Agnostic Architecture for Algorithm Induction via Implicit Composition. arxiv.org/abs/2404.02450
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I'm excited to introduce our work on efficient visual localization - PRAM: Place Recognition Anywhere Model for Efficient Visual Localization with @IgnasBud @robertocipolla
1. Self-defined 3D landmarks as in humans’ perception system - not limited to classic semantic labels
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Ignas Budvytis retweeted
12 Apr 2024
PRAM: Place Recognition Anywhere Model for Efficient Visual Localization
Fei Xue, @IgnasBud, @robertocipolla
tl;dr: map-centric landmark definition; recognition->sparse self-defined landmarks->landmark-wise matching
new paradigm for visual localization?
arxiv.org/pdf/2404.07785.pdf
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Ignas Budvytis retweeted
4 Apr 2024
Excited to be presenting “DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans” at #CVPR2024!
Project page: akashsengupta1997.github.io/…
Huge thanks to my awesome @GoogleAI internship hosts: @thiemoall, @nikoskolot, @enric_corona, Andrei Zanfir, @CSminchisescu!
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Ignas Budvytis retweeted
29 Oct 2023
Excited to be presenting my latest work "Sparse Multi-Object Render-and-Compare" at #BMVC2023. CAD model based 3D scene representations have exciting applications for AR and robotics.
- with @IgnasBud and @robertocipolla
youtu.be/UFWL92rbyIU
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very interesting work. similar idea to our CVPR2023 paper IMP: Iterative Matching and Pose Estimation with Adaptive Pooling w/ @IgnasBud @robertocipolla
arxiv.org/pdf/2304.14837.pdf
Source code including the training part is available at github.com/feixue94/imp-rele…
26 Jun 2023
LightGlue: Local Feature Matching at Light Speed
@PhilippCSE, @pesarlin, @mapo1
tl;dr: exit mechanism point prune between each layer in SuperGlue->adaptive stopping mechanism->fast inference of SuperGlue
github.com/cvg/LightGlue
arxiv.org/pdf/2306.13643.pdf
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Ignas Budvytis retweeted
15 Jun 2023
Can't wait to be at #CVPR in Vancouver next week! Drop in to the PM poster session on Tuesday to check out HuManiFlow - our probabilistic approach to 3D human pose and shape estimation.
Video: youtube.com/watch?v=6xDiJNzP…
More details: akashsengupta1997.github.io/
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Introducing our work 'IMP: Iterative Matching and Pose Estimation with Adaptive Pooling': efficient matching and pose estimation with transformers.
#CVPR2023
w/ @IgnasBud @robertocipolla
paper: arxiv.org/abs/2304.14837
code: github.com/feixue94/imp-rele…
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@CVPR A new approach of using sematics for long-term localization
SFD2: Semantic-guided Feature Detection and Description @feixu94 @IgnasBud @robertocipolla
github.com/feixue94/sfd2
implicit semantics embedding into keypoints; no gt for training; no explicit labels at test time
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Ignas Budvytis retweeted
12 May 2023
Really looking forward to presenting our paper "HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation" at CVPR 2023!
w/ @IgnasBud and @robertocipolla
Paper code: github.com/akashsengupta1997…
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Ignas Budvytis retweeted
2 May 2023
SFD2: Semantic-guided Feature Detection and Description
Fei Xue, @IgnasBud, @robertocipolla
tl;dr: more principled approach to use segmentation for image matching, than class-name filtering.
arxiv.org/abs/2304.14845.pdf
#CVPR2023
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Ignas Budvytis retweeted
18 Oct 2022
Introducing IronDepth, a framework that uses surface normal and its uncertainty to iteratively refine the predicted depth map (to appear in #bmvc2022). Visit baegwangbin.github.io/IronDe… for more detail.
Joint work with @IgnasBud and @robertocipolla.
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Ignas Budvytis retweeted
6 Oct 2022
Happy to share our latest work (with @BaeGwangbin, @IgnasBud and @robertocipolla) "SPARC: Sparse Render-and-Compare for CAD model alignment from a single RGB image" which will be presented at #BMVC2022 in November. #Sparse #3dshape
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Ignas Budvytis retweeted
6 Oct 2022
I am happy to share that our paper "SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image" will be presented at #BMVC2022.
arxiv: arxiv.org/pdf/2210.01044.pdf
authors: Florian Langer, @BaeGwangbin, @IgnasBud, @robertocipolla
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Ignas Budvytis retweeted
17 Jun 2022
I am happy to share that our paper "Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry" will be presented at #CVPR2022 as an oral (top 4%)! Here is the link to the presentation.
youtu.be/LM113ibJVmQ
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Ignas Budvytis retweeted
1 May 2022
Had a nice afternoon out in the sun with @robertocipolla and @IgnasBud, testing our 3D shape and pose estimation method 😁
Paper code here: github.com/akashsengupta1997…
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