Vincent Renkens

17 papers A 4Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	MARRS: Multimodal Reference Resolution System. CoRR Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Özyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou
2023	—	`conf`	Referring to Screen Texts with Voice Assistants. ACL (industry) Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens
2023	J	`jnl`	Referring to Screen Texts with Voice Assistants. CoRR Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens
2021	J	`jnl`	Low resource end-to-end spoken language understanding with capsule networks. Comput. Speech Lang. Jakob Poncelet, Vincent Renkens, Hugo Van hamme
2021	J	`jnl`	MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants. CoRR Alkesh Patel, Joel Ruben Antony Moniz, Roman Nguyen, Nick Tzou, Hadas Kotek, Vincent Renkens
2021	A	`conf`	User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. Interspeech Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak
2021	J	`jnl`	User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. CoRR Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak
2018	A	`conf`	Capsule Networks for Low Resource Spoken Language Understanding. INTERSPEECH Vincent Renkens, Hugo Van hamme
2018	J	`jnl`	Capsule Networks for Low Resource Spoken Language Understanding. CoRR Vincent Renkens, Hugo Van hamme
2018	—	`conf`	State Gradients for RNN Memory Analysis. BlackboxNLP@EMNLP Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
2018	A	`conf`	State Gradients for RNN Memory Analysis. INTERSPEECH Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
2018	J	`jnl`	State Gradients for RNN Memory Analysis. CoRR Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
2017	J	`jnl`	Automatic relevance determination for nonnegative dictionary learning in the gamma-Poisson model. Signal Process. Vincent Renkens, Hugo Van hamme
2017	J	`jnl`	Weakly Supervised Learning of Hidden Markov Models for Spoken Language Acquisition. IEEE ACM Trans. Audio Speech Lang. Process. Vincent Renkens, Hugo Van hamme
2016	—	`conf`	Incrementally learn the relevance of words in a dictionary for spoken language acquisition. SLT Vincent Renkens, Vikrant Tomar, Hugo Van hamme
2015	A	`conf`	Mutually exclusive grounding for weakly supervised non-negative matrix factorisation. INTERSPEECH Vincent Renkens, Hugo Van hamme
2014	—	`conf`	Acquisition of ordinal words using weakly supervised NMF. SLT Vincent Renkens, Steven Janssens, Bart Ons, Jort F. Gemmeke, Hugo Van hamme