collaborators

5 papers

cs.LG2026

Can Circuit Alignment Predict OOD Generalization?

Ayan Banerjee, Abhra Chaudhuri, Josep Llados +2

Can out-of-distribution (OOD) generalization be predicted from a trained model's weights alone, without any target-domain data? Existing representational similarity metrics (CKA, S…

cs.CV2024

GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document Understanding

Nil Biescas, Carlos Boned, Josep Lladós +1

This paper presents GeoContrastNet, a language-agnostic framework to structured document understanding (DU) by integrating a contrastive learning objective with graph attention net…

cs.CV2024

SketchGPT: Autoregressive Modeling for Sketch Generation and Recognition

Adarsh Tiwari, Sanket Biswas, Josep Lladós

We present SketchGPT, a flexible framework that employs a sequence-to-sequence autoregressive model for sketch generation, and completion, and an interpretation case study for sket…

cs.CV2024

CraftSVG: Multi-Object Text-to-SVG Synthesis via Layout Guided Diffusion

Ayan Banerjee, Nityanand Mathur, Josep Llados +2

Generating VectorArt from text prompts is a challenging vision task, requiring diverse yet realistic depictions of the seen as well as unseen entities. However, existing research h…

cs.CV2024

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

Ayan Banerjee, Sanket Biswas, Josep Lladós +1

Object detection in documents is a key step to automate the structural elements identification process in a digital or scanned document through understanding the hierarchical struc…