activity
20182025
most citedOvercoming catastrophic forgetting with hard attention to the task

221 citations · 236 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification

Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall +21

Automated video analysis is critical for wildlife conservation. A foundational task in this domain is multi-animal tracking (MAT), which underpins applications such as individual r…

cs.CV2025★ 13 cited

SAM 3: Segment Anything with Concepts

Nicolas Carion, Laura Gustafson, Yuan-Ting Hu +35

We present Segment Anything Model (SAM) 3, a unified model that detects, segments, and tracks objects in images and videos based on concept prompts, which we define as either short…

cs.MM2022★ 1 cited

It's Time for Artistic Correspondence in Music and Video

Didac Suris, Carl Vondrick, Bryan Russell +1

We present an approach for recommending a music track for a given video, and vice versa, based on both their temporal alignment and their correspondence at an artistic level. We pr…

cs.CV2022★ 1 cited

Revealing Occlusions with 4D Neural Fields

Basile Van Hoorick, Purva Tendulkar, Didac Suris +3

For computer vision systems to operate in dynamic situations, they need to be able to represent and reason about object permanence. We introduce a framework for learning to estimat…

cs.CV2018

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

David Harwath, Adrià Recasens, Dídac Surís +3

In this paper, we explore neural network models that learn to associate segments of spoken audio captions with the semantically relevant portions of natural images that they refer…

cs.IR2018

Cross-modal Embeddings for Video and Audio Retrieval

Didac Surís, Amanda Duarte, Amaia Salvador +2

The increasing amount of online videos brings several opportunities for training self-supervised neural networks. The creation of large scale datasets of videos such as the YouTube…

cs.LG2018★ 221 cited

Overcoming catastrophic forgetting with hard attention to the task

Joan Serrà, Dídac Surís, Marius Miron +1

Catastrophic forgetting occurs when a neural network loses the information learned in a previous task after training on subsequent tasks. This problem remains a hurdle for artifici…