activity
20182026
most citedSHREC 2022: Protein-ligand binding site recognition

18 citations · 46 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

BYOL: Bring Your Own Language Into LLMs

Syed Waqas Zamir, Wassim Hamidouche, Boulbaba Ben Amor +3

Large Language Models (LLMs) exhibit strong multilingual capabilities, yet remain fundamentally constrained by the severe imbalance in global language resources. While over 7,000 l…

cs.LG2025★ 1 cited

Gene42: Long-Range Genomic Foundation Model With Dense Attention

Kirill Vishniakov, Boulbaba Ben Amor, Engin Tekin +12

We introduce Gene42, a novel family of Genomic Foundation Models (GFMs) designed to manage context lengths of up to 192,000 base pairs (bp) at a single-nucleotide resolution. Gene4…

cs.LG2025★ 1 cited

Chem42: a Family of chemical Language Models for Target-aware Ligand Generation

Aahan Singh, Engin Tekin, Maryam Nadeem +4

Revolutionizing drug discovery demands more than just understanding molecular interactions - it requires generative models that can design novel ligands tailored to specific biolog…

cs.CL2024★ 14 cited

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

Clément Christophe, Praveen K Kanithi, Prateek Munjal +13

This study presents a comprehensive analysis and comparison of two predominant fine-tuning methodologies - full-parameter fine-tuning and parameter-efficient tuning - within the co…

cs.CV2022

SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Jie Qin, Shuaihang Yuan, Jiaxin Chen +22

Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a r…

q-bio.BM2022★ 18 cited

SHREC 2022: Protein-ligand binding site recognition

Luca Gagliardi, Andrea Raffo, Ulderico Fugacci +12

This paper presents the methods that have participated in the SHREC 2022 contest on protein-ligand binding site recognition. The prediction of protein-ligand binding regions is an…

cs.CV2021★ 6 cited

G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation

Hao Huang, Boulbaba Ben Amor, Xichan Lin +2

Analyzing the structure of proteins is a key part of understanding their functions and thus their role in biology at the molecular level. In addition, design new proteins in a meth…

cs.CV2021★ 1 cited

Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment

Hao Huang, Boulbaba Ben Amor, Xichan Lin +2

Non-linear (large) time warping is a challenging source of nuisance in time-series analysis. In this paper, we propose a novel diffeomorphic temporal transformer network for both p…

cs.CV2021

Magnifying Subtle Facial Motions for Effective 4D Expression Recognition

Qingkai Zhen, Di Huang, Yunhong Wang +3

In this paper, an effective pipeline to automatic 4D Facial Expression Recognition (4D FER) is proposed. It combines two growing but disparate ideas in Computer Vision -- computing…

cs.CV2019★ 5 cited

Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition

Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor

The detection and tracking of human landmarks in video streams has gained in reliability partly due to the availability of affordable RGB-D sensors. The analysis of such time-varyi…

cs.CV2018

A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding

Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor +2

In this paper, we propose a novel space-time geometric representation of human landmark configurations and derive tools for comparison and classification. We model the temporal evo…