Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition. - Maxime Burchi; Valentin Vielzeuf (ASRU, 2021)

Conformer and Blind Noisy Students for Improved Image Quality Assessment. - Marcos V. Conde; Maxime Burchi; Radu Timofte (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Radu Timofte; Yuan Gong 002; Shanshan Lao; Shuwei Shi; Jiahao Wang; Sidi Yang; Tianhe Wu; Weihao Xia 001; et al. (CVPR Workshops, 2022)

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. - Marcos V. Conde; Ui-Jin Choi; Maxime Burchi; Radu Timofte (ECCV Workshops (2), 2022)

Audio-Visual Efficient Conformer for Robust Speech Recognition. - Maxime Burchi; Radu Timofte (WACV, 2023)

Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer. - Maxime Burchi; Krishna C. Puvvada; Jagadeesh Balam; Boris Ginsburg; Radu Timofte (ICASSP, 2024)

MuDreamer: Learning Predictive World Models without Reconstruction. - Maxime Burchi; Radu Timofte (CoRR, 2024)

Learning Transformer-based World Models with Contrastive Predictive Coding. - Maxime Burchi; Radu Timofte (ICLR, 2025)

Accurate and Efficient World Modeling with Masked Latent Transformers. - Maxime Burchi; Radu Timofte (CoRR, 2025)