39 citations · 59 across the 6 of their papers we have counts for
8 papers
Situated Visualization in Motion for Swimming
Lijie Yao, Anastasia Bezerianos, Romain Vuillemot +1
Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this da…
Reflections on Visualization in Motion for Fitness Trackers
Alaul Islam, Lijie Yao, Anastasia Bezerianos +5
In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization i…
ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes
François Homps, Yohan Beugin, Romain Vuillemot
We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes -- such as cuboids, sph…
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
Theo Jaunet, Guillaume Bono, Romain Vuillemot +1
The Robotics community has started to heavily rely on increasingly realistic 3D simulators for large-scale training of robots on massive amounts of data. But once robots are deploy…
How Transferable are Reasoning Patterns in VQA?
Corentin Kervadec, Theo Jaunet, Grigory Antipov +3
Since its inception, Visual Question Answering (VQA) is notoriously known as a task, where models are prone to exploit biases in datasets to find shortcuts instead of performing hi…
VisQA: X-raying Vision and Language Reasoning in Transformers
Theo Jaunet, Corentin Kervadec, Romain Vuillemot +3
Visual Question Answering systems target answering open-ended textual questions given input images. They are a testbed for learning high-level reasoning with a primary use in HCI,…
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet, Romain Vuillemot, Christian Wolf
We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of la…
Approximate Evaluation of Label-Constrained Reachability Queries
Stefania Dumbrava, Angela Bonifati, Amaia Nazabal Ruiz Diaz +1
The current surge of interest in graph-based data models mirrors the usage of increasingly complex reachability queries, as witnessed by recent analytical studies on real-world gra…