2024:

1 CVPR PointBeV: A Sparse Approach to BeV Predictions
1 ICRA Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
1 ICLR Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
1 CVIU GradPaint: Gradient-guided inpainting with diffusion models

Google Scholar profile

2023:

3 NeurIPS OBELICS, Rewarded soups and REx: Data-Free Quantization
2 ICCV eP-ALM: Efficient Perceptual Augmentation of Language Models and ZestGuide accepted to ICCV 2023 in Paris!
1 paper UnIVAL: Unified Model for Image, Video, Audio and Language Tasks accepted to MMFM Workshop @ICCV.
1 ICML Model Ratatouille: Recycling Diverse Models for ood
4 CVPR Counterfactual Explanations, Semantic and Panoptic Segmentation, Visual Recognition, Improving Selective VQA
2 ICLR Image editing with diffusion models and Data free quantization of deep nets

1 IJCV paper on Explainability of vision-based autonomous driving systems: Review and challenges

AndrewYNg’s news letter pointed out our recent strategy for training Transformers in Vision: Cookbook for Vision Transformers: Good insight about our DeiT III !

2022 main publi/infos:

Dec.: 2 papers presented at NeurIPS, 1 paper at CoRL
Nov.: 1 paper at BMVC Conference Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment!
Oct: 3 papers presented at ECCV including STEEX! and 2 papers about DeiT
July: 1 paper at ICML Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
June: 2 papers at CVPR 1- Flexible Semantic Image Translation, 2- Transformers for continual learning + 8 workshop papers:
T-FOOD Transformer for Cross-Modal Food Retrieval,
Raising context awareness in motion forecasting,
Embedding Arithmetic of Multimodal Queries for Image Retrieval,
Towards efficient feature sharing in MIMO architectures,
Dynamic Query Selection for Fast Visual Perceiver,
Swapping Semantic Contents for Mixing Images,
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
and RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging published T-PAMI
Janv. 2022 MLIA is joigning the ISIR lab of Sorbonne University, it is a fantastic opportunuity with a lot of new challenges for us!

2021 main publications:

2 NeurIPS – Data-Free Compression of Deep Neural Networks and on Efficient Black-box Explanations for deep nets
5 ICCV – domain adaptation, bias, Mixing and data augmentation, self supervised, transformers (Xtarget Domain adaptation, Bias and Xmodal shortcuts, CaiT Deeper with transformers, Deep ensembles with 1 net, Coarse labels but fine-grained classification )
1 ICML – DeiT data-efficient image transformers
3 CVPR – Continual Semantic Segmentation, Semantic editing GANs, and Self Supervised BoW + workshops: Insights from the Future for Continual Learning at CVPR workshop on continual learning in computer vision, Learning Reasoning Mechanisms for Unbiased Question-based Counting at CVPR workshop on VQA
1 ICLR – diversity in deep ensembles
1 BMVC – GAN editing
1 PAMI – confidence for deep
and others …
1 IEEE Trans on Intelligent Transportation Systems – Detecting 32 Pedestrian Attributes for Autonomous Vehicles
1 CVIU zero-shot semantic segmentation with domain adaptation published in CVIU

1 paper BEEF on XAI and Autonomous driving at the NeurIPS workshop: Machine Learning for Autonomous Driving

My GANified Face (Thanks to Asya Grechka )