EDBT 2026 Demo / reviewers in the wild / expert
Vatsal Agarwal
dblp:33/11253
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2024
0009-0004-9470-198XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 3 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
3D vision · 56% Representation and self-supervised learning · 36% Generative modeling · 8% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
3d reconstruction |
0.8 | 1 | 2024 | LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation · ECCV (16) 2024 |
Computer vision › 3D vision › 3d reconstruction › object reconstruction
articulated object reconstruction |
0.8 | 1 | 2024 | LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation · ECCV (16) 2024 |
Machine learning › Representation and self-supervised learning › representation learning › visual representation learning
discriminative visual representation |
0.8 | 1 | 2024 | Do Text-Free Diffusion Models Learn Discriminative Visual Representations? · ECCV (60) 2024 |
Machine learning › Generative modeling
diffusion model |
0.2 | 1 | 2024 | Do Text-Free Diffusion Models Learn Discriminative Visual Representations? · ECCV (60) 2024 |
Machine learning › Representation and self-supervised learning › representation learning › invariant representation learning
view-invariant representation |
0.2 | 1 | 2024 | LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation · ECCV (16) 2024 |
Methods — techniques the papers use, named apart from their topics
representation probing · 0.8latent embedding · 0.8implicit neural representation · 0.8diffusion model · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Do Text-Free Diffusion Models Learn Discriminative Visual Representations?
Soumik Mukhopadhyay 0001, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou 0001, Jun Ohya, Abhinav Shrivastava |
ECCV (60) | 4 |
| 2024 | LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation
Archana Swaminathan, Kamal Gupta 0002, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava |
ECCV (16) | 5 |
| 2023 | Unifying the Harmonic Analysis of Adversarial Attacks and Robustness
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava |
BMVC | 3 |