105 citations · 436 across the 29 of their papers we have counts for
9 papers · 1 filter
VTC: Improving Video-Text Retrieval with User Comments
Laura Hanu, James Thewlis, Yuki M. Asano +1
Multi-modal retrieval is an important problem for many applications, such as recommendation and search. Current benchmarks and even datasets are often manually constructed and cons…
Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers
Jochem Loedeman, Maarten C. Stol, Tengda Han +1
With the introduction of the transformer architecture in computer vision, increasing model scale has been demonstrated as a clear path to achieving performance and robustness gains…
Self-Guided Diffusion Models
Vincent Tao Hu, David W Zhang, Yuki M. Asano +2
Diffusion models have demonstrated remarkable progress in image generation quality, especially when guidance is used to control the generative process. However, guidance requires a…
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Iro Laina, Yuki M. Asano, Andrea Vedaldi
Self-supervised visual representation learning has recently attracted significant research interest. While a common way to evaluate self-supervised representations is through trans…
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
Phillip Lippe, Sara Magliacane, Sindy Löwe +3
Causal representation learning is the task of identifying the underlying causal variables and their relations from high-dimensional observations, such as images. Recent work has sh…
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt +4
The growing capability and availability of generative language models has enabled a wide range of new downstream tasks. Academic research has identified, quantified and mitigated b…
Less than Few: Self-Shot Video Instance Segmentation
Pengwan Yang, Yuki M. Asano, Pascal Mettes +1
The goal of this paper is to bypass the need for labelled examples in few-shot video understanding at run time. While proven effective, in many practical video settings even labell…
Self-Supervised Learning of Object Parts for Semantic Segmentation
Adrian Ziegler, Yuki M. Asano
Progress in self-supervised learning has brought strong general image representation learning methods. Yet so far, it has mostly focused on image-level learning. In turn, tasks suc…
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe, Sara Magliacane, Sindy Löwe +3
Understanding the latent causal factors of a dynamical system from visual observations is considered a crucial step towards agents reasoning in complex environments. In this paper,…