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Anubhav Khanal, Prabigya Acharya, Roshni Poudel, Sujan Kapali et autres
Vision-language models excel at 2D image understanding but remain limited in 3D spatial reasoning. Progress is hindered by limitations in current benchmarks. First, 3D datasets often rely on point clouds that capture geometry but discard rich visual features like texture, text, and …
Yerin Cheon, Aruna Balasubramanian, François Rameau
us, kr (code pays fourni par la source)
Oleksii Nasypanyi, Jaemin Cho, Utku Özbulak, Byungkon Kang et autres
Scene Coordinate Regression (SCR) methods are increasingly adopted for visual localization. In these approaches, the scene is implicitly encoded within a neural network that regresses a 3D world coordinate for each image pixel. Because the scene is represented only through the network …
Yerin Cheon, Aruna Balasubramanian, François Rameau
Semantic segmentation provides pixel-level scene understanding essential for autonomous driving and fine-grained perception tasks. However, training segmentation models requires costly, labor-intensive annotations on real-world datasets. Unsupervised Domain Adaptation (UDA) addresses this by training models on labeled synthetic data and adapting them to …
Yerin Cheon, Aruna Balasubramanian, François Rameau
Semantic segmentation provides pixel-level scene understanding essential for autonomous driving and fine-grained perception tasks. However, training segmentation models requires costly, labor-intensive annotations on real-world datasets. Unsupervised Domain Adaptation (UDA) addresses this by training models on labeled synthetic data and adapting them to …
us, kr (code pays fourni par la source)
Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem et autres
peer reviewed
Oleksii Nasypanyi, François Rameau
Keypoint matching can be slow and unreliable in challenging conditions such as repetitive textures or widebaseline views. In such cases, known geometric relations (e.g., the fundamental matrix) can be used to restrict potential correspondences to a narrow epipolar envelope, thereby reducing the …
us, kr (code pays fourni par la source)
Oleksii Nasypanyi, François Rameau
Keypoint matching can be slow and unreliable in challenging conditions such as repetitive textures or wide-baseline views. In such cases, known geometric relations (e.g., the fundamental matrix) can be used to restrict potential correspondences to a narrow epipolar envelope, thereby reducing the …
Oleksii Nasypanyi, François Rameau
Keypoint matching can be slow and unreliable in challenging conditions such as repetitive textures or wide-baseline views. In such cases, known geometric relations (e.g., the fundamental matrix) can be used to restrict potential correspondences to a narrow epipolar envelope, thereby reducing the …
Oleksii Nasypanyi, Jaemin Cho, Utku Özbulak, Byungkon Kang et autres
us, kr (code pays fourni par la source)
Ju‐Young Yun, François Rameau, Byungkon Kang, Zhoulai Fu
us, kr (code pays fourni par la source)
D. Rossi, Pascal Vasseur, Fabio Morbidi, Cédric Demonceaux et autres
Autonomous driving systems require robust object detection in complex environments. Event cameras outperform RGB cameras under challenging lighting conditions, but face limitations due to the scarcity of available datasets and lack of specialized training. To narrow the gap between RGB- and event-based …
fr, kr (code pays fourni par la source)
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