130 citations · 525 across the 45 of their papers we have counts for
9 papers · 1 filter
Discovering Evolution Strategies via Meta-Black-Box Optimization
Robert Tjarko Lange, Tom Schaul, Yutian Chen +5
Optimizing functions without access to gradients is the remit of black-box methods such as evolution strategies. While highly general, their learning dynamics are often times heuri…
Adversarial Cheap Talk
Chris Lu, Timon Willi, Alistair Letcher +1
Adversarial attacks in reinforcement learning (RL) often assume highly-privileged access to the victim's parameters, environment, or data. Instead, this paper proposes a novel adve…
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang
Dense prediction tasks are common for 3D point clouds, but the uncertainties inherent in massive points and their embeddings have long been ignored. In this work, we present CUE, a…
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
Lang Deng, Jianfei Yang, Shenghai Yuan +3
As an important biomarker for human identification, human gait can be collected at a distance by passive sensors without subject cooperation, which plays an essential role in crime…
Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars
Dongjiang Cao, Ruofeng Liu, Hao Li +3
Human identification is a key requirement for many applications in everyday life, such as personalized services, automatic surveillance, continuous authentication, and contact trac…
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
Jianfei Yang, Xinyan Chen, Dazhuo Wang +4
WiFi sensing has been evolving rapidly in recent years. Empowered by propagation models and deep learning methods, many challenging applications are realized such as WiFi-based hum…
OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum
Peize Li, Kaiwen Cai, Muhamad Risqi U. Saputra +4
This paper presents a multimodal indoor odometry dataset, OdomBeyondVision, featuring multiple sensors across the different spectrum and collected with different mobile platforms.…
STUN: Self-Teaching Uncertainty Estimation for Place Recognition
Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang
Place recognition is key to Simultaneous Localization and Mapping (SLAM) and spatial perception. However, a place recognition in the wild often suffers from erroneous predictions d…
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
Fangqiang Ding, Zhijun Pan, Yimin Deng +2
Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy. While estimating the scene…