90 citations
- Honda (Germany)DE9 papers
- Honda Research Institute Japan Co., Ltd. (Japan)JP5 papers
- Carnegie Mellon UniversityUS4 papers
- Georgia Institute of TechnologyUS4 papers
- Bielefeld UniversityDE3 papers
- Honda (United States)US3 papers
- Kyoto UniversityJP3 papers
- Technische Universität DarmstadtDE3 papers
- University of Maryland, College ParkUS3 papers
- Cornell UniversityUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Google (United States)US2 papers
63 papers
A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities
Stefanos Gkikas, Christian Arzate Cruz, Valentina Becchetti +3
Pain is a complex and pervasive phenomenon affecting a large percentage of the population, and accurate assessment is essential for effective clinical management and intervention.…
Adding More Value Than Work: Practical Guidelines for Integrating Robots into Intercultural Competence Learning
Zhennan Yi, Sophia Sakakibara Capello, Randy Gomez +1
While social robots have demonstrated effectiveness in supporting students' intercultural competence development, it is unclear how they can effectively be adopted for integrated u…
CALM: Joint Contextual Acoustic-Linguistic Modeling for Personalization of Multi-Speaker ASR
Muhammad Shakeel, Yosuke Fukumoto, Chikara Maeda +2
We present CALM, a joint Contextual Acoustic-Linguistic Modeling framework for multi-speaker automatic speech recognition (ASR). In personalized AI scenarios, the joint availabilit…
Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder
Muhammad Shakeel, Yui Sudo, Yifan Peng +2
This paper presents a unified multi-speaker encoder (UME), a novel architecture that jointly learns representations for speaker diarization (SD), speech separation (SS), and multi-…
Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection
Riku Inoue, Masamitsu Tsuchiya, Yuji Yasui
Open World Object Detection (OWOD) is a challenging computer vision task that extends standard object detection by (1) detecting and classifying unknown objects without supervision…
Channel-wise Motion Features for Efficient Motion Segmentation
Riku Inoue, Masamitsu Tsuchiya, Yuji Yasui
For safety-critical robotics applications such as autonomous driving, it is important to detect all required objects accurately in real-time. Motion segmentation offers a solution…