5 citations · 12 across the 8 of their papers we have counts for
12 papers · 1 filter
Promptable Animal Pose Tracking Across Species
Le Li, Daniela Ivanova, Nicolas Pugeault
Animal pose estimation and tracking is important for wildlife monitoring and conservation research, and with limited expert time for labelling automated approaches are imperative.…
Modeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecasting
Guangxun Zhu, Xuan Liu, Nicolas Pugeault +2
Accurately predicting pedestrian motion is crucial for safe and reliable autonomous driving in complex urban environments. In this work, we present a 3D vehicle-conditioned pedestr…
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Faisal Alamri, Sinan Kalkan, Nicolas Pugeault
Deep neural network approaches have demonstrated high performance in object recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that such architectures…
Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity
Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis +2
Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent…
Image Captioning through Image Transformer
Sen He, Wentong Liao, Hamed R. Tavakoli +3
Automatic captioning of images is a task that combines the challenges of image analysis and text generation. One important aspect in captioning is the notion of attention: How to d…
Contextual Relabelling of Detected Objects
Faisal Alamri, Nicolas Pugeault
Contextual information, such as the co-occurrence of objects and the spatial and relative size among objects provides deep and complex information about scenes. It also can play an…