Trending Research
Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a variety of applications.
Networking and Internet Architecture Signal Processing
MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition
zeroqiaoba/mer2023-baseline
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Therefore, we build MERBench, a unified evaluation benchmark for multimodal emotion recognition.
Human-Computer Interaction
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
j96w/mimicplay
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Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world.
Robotics
A Conflict-Free Replicated JSON Datatype
Many applications model their data in a general-purpose storage format such as JSON.
Distributed, Parallel, and Cluster Computing Databases
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks
Nezha bridges the gap between protocols such as Multi-Paxos and Raft, which can be readily deployed and protocols such as NOPaxos and Speculative Paxos, that provide better performance, but require access to technologies such as programmable switches and in-network prioritization, which cloud tenants do not have.
Distributed, Parallel, and Cluster Computing Databases Networking and Internet Architecture C.2.1; C.2.4; C.4
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Time delay neural network (TDNN) has been proven to be efficient for speaker verification.
Sound Audio and Speech Processing
General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox
This paper presents an open source LiDAR-camera calibration toolbox that is general to LiDAR and camera projection models, requires only one pairing of LiDAR and camera data without a calibration target, and is fully automatic.
Robotics
EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors
Gradient-based planners are widely used for quadrotor local planning, in which a Euclidean Signed Distance Field (ESDF) is crucial for evaluating gradient magnitude and direction.
Robotics
Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization
Optimization-based trajectory generation methods are widely used in whole-body planning for robots.
Robotics
UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022
Our system is based on ensemble learning of strong and weak learners.
Sound Audio and Speech Processing
