Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Francesca, Gianpiero"'
Autor:
Kegeleirs, Miquel, Ramos, David Garzón, Herranz, Guillermo Legarda, Gharbi, Ilyes, Szpirer, Jeanne, Debeir, Olivier, Hasselmann, Ken, Garattoni, Lorenzo, Francesca, Gianpiero, Birattari, Mauro
Swarm perception refers to the ability of a robot swarm to utilize the perception capabilities of each individual robot, forming a collective understanding of the environment. Their distributed nature enables robot swarms to continuously monitor dyna
Externí odkaz:
http://arxiv.org/abs/2410.06720
Autor:
Simoni, Alessandro, Marchetti, Francesco, Borghi, Guido, Becattini, Federico, Davoli, Davide, Garattoni, Lorenzo, Francesca, Gianpiero, Seidenari, Lorenzo, Vezzani, Roberto
Despite the recent advances in computer vision research, estimating the 3D human pose from single RGB images remains a challenging task, as multiple 3D poses can correspond to the same 2D projection on the image. In this context, depth data could hel
Externí odkaz:
http://arxiv.org/abs/2409.11104
Long-term action anticipation has become an important task for many applications such as autonomous driving and human-robot interaction. Unlike short-term anticipation, predicting more actions into the future imposes a real challenge with the increas
Externí odkaz:
http://arxiv.org/abs/2407.11954
Autor:
Kegeleirs, Miquel, Ramos, David Garzón, Herranz, Guillermo Legarda, Gharbi, Ilyes, Szpirer, Jeanne, Hasselmann, Ken, Garattoni, Lorenzo, Francesca, Gianpiero, Birattari, Mauro
Most studies in swarm robotics treat the swarm as an isolated system of interest. We argue that the prevailing view of swarms as self-sufficient, independent systems limits the scope of potential applications for swarm robotics. A robot swarm could a
Externí odkaz:
http://arxiv.org/abs/2405.04079
Autor:
Yang, Di, Wang, Yaohui, Dantcheva, Antitza, Kong, Quan, Garattoni, Lorenzo, Francesca, Gianpiero, Bremond, Francois
Skeleton-based action segmentation requires recognizing composable actions in untrimmed videos. Current approaches decouple this problem by first extracting local visual features from skeleton sequences and then processing them by a temporal model to
Externí odkaz:
http://arxiv.org/abs/2308.14500
Modeling long-term context in videos is crucial for many fine-grained tasks including temporal action segmentation. An interesting question that is still open is how much long-term temporal context is needed for optimal performance. While transformer
Externí odkaz:
http://arxiv.org/abs/2308.11358
Autor:
Kegeleirs, Miquel, Ramos, David Garzón, Garattoni, Lorenzo, Francesca, Gianpiero, Birattari, Mauro
Automatic off-line design is an attractive approach to implementing robot swarms. In this approach, a designer specifies a mission for the swarm, and an optimization process generates suitable control software for the individual robots through comput
Externí odkaz:
http://arxiv.org/abs/2305.16126
Autor:
Yang, Di, Wang, Yaohui, Kong, Quan, Dantcheva, Antitza, Garattoni, Lorenzo, Francesca, Gianpiero, Bremond, Francois
Self-supervised video representation learning aimed at maximizing similarity between different temporal segments of one video, in order to enforce feature persistence over time. This leads to loss of pertinent information related to temporal relation
Externí odkaz:
http://arxiv.org/abs/2305.06437
Autor:
Majhi, Snehashis, Dai, Rui, Kong, Quan, Garattoni, Lorenzo, Francesca, Gianpiero, Bremond, Francois
Video anomaly detection in surveillance systems with only video-level labels (i.e. weakly-supervised) is challenging. This is due to, (i) the complex integration of human and scene based anomalies comprising of subtle and sharp spatio-temporal cues i
Externí odkaz:
http://arxiv.org/abs/2301.07923
Action segmentation is the task of predicting an action label for each frame of an untrimmed video. As obtaining annotations to train an approach for action segmentation in a fully supervised way is expensive, various approaches have been proposed to
Externí odkaz:
http://arxiv.org/abs/2210.06501