28 citations · 29 across the 7 of their papers we have counts for
8 papers
Neurai-VN Benchmark: Standardized Machine Learning Models for Multimodal Digital Phenotyping in Mental Health Classification
Quoc-Cuong Pham, Hoang-Thuy-Duong Vu, Thi-Thanh-Huong Ha +1
Digital phenotyping (DP) using smartphones and wearable devices has emerged as a promising approach for assessing mental health, particularly depression and anxiety. However, progr…
VISHC at PsyDefDetect: Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation
Hoang-Thuy-Duong Vu, Quoc-Cuong Pham, Huy-Hieu Pham
Psychological defense mechanisms (PDMs) are unconscious cognitive processes that modulate how individuals perceive and respond to emotional distress. Automatically classifying PDMs…
MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
Saad Lahlali, Alexandre Fournier Montgieux, Nicolas Granger +2
Annotating 3D data remains a costly bottleneck for 3D object detection, motivating the development of weakly supervised annotation methods that rely on more accessible 2D box annot…
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion
Saad Lahlali, Sandra Kara, Hejer Ammar +4
Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing int…
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
Saad Lahlali, Nicolas Granger, Hervé Le Borgne +1
3D object detection plays a crucial role in various applications such as autonomous vehicles, robotics and augmented reality. However, training 3D detectors requires a costly preci…
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
Sandra Kara, Hejer Ammar, Florian Chabot +1
Recent works have shown that objects discovery can largely benefit from the inherent motion information in video data. However, these methods lack a proper background processing, r…
SoccerNet 2023 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +99
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…
Image Segmentation-based Unsupervised Multiple Objects Discovery
Sandra Kara, Hejer Ammar, Florian Chabot +1
Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods. To address this problem…