19 skills found
OpenGVLab / VideoChat R1[NIPS2025] VideoChat-R1 & R1.5: Enhancing Spatio-Temporal Perception and Reasoning via Reinforcement Fine-Tuning
ai4ce / Occ4castOcc4cast: LiDAR-based 4D Occupancy Completion and Forecasting
llyx97 / TempCompass[ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou
PRBonn / TARL[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
UttaranB127 / STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Zewei-Zhou / V2XPnP[ICCV 2025] V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction
lixiaoyu2000 / HATOfficial Repo For AAAI 2026 Accepted Paper "Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception"
snalyami / Swin MSTPSwin-MSTP: Swin Transformer with Multi-Scale Temporal Perception for Continuous Sign Language Recognition
KunyuLin / STDN[NeurIPS 2023] Diversifying Spatial-Temporal Perception for Video Domain Generalization
ZJUNICE / Select2ColSelect2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception
cps-atlas / StremA command-line tool for spatio-temporal matching of perception streams.
DejanDraschkow / N3n4This repo contains the analysis code for our project investigating the temporal dynamics of object-scene integration using MVPA. Our work focuses on the role of the N300/N400 complex in object perception.
CPS-VIDA / PerceMonOnline monitoring for perception systems using Spatio-Temporal Quality Logic
Eurekaleo / Dr.VDr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding
chengez / TicTocCode and data for paper "Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception"
rahulshankar02 / Environmental Sound Classification Using Audio Texture FeaturesResearch into the auditory perception of sound textures has revealed the importance of time-frequency statistics in the recognition of sounds. These summary statistics play a key role in mid-level auditory processing. This work investigates whether audio texture features can be useful in classifying the larger set of environmental sounds. A baseline feature space composed of statistics of mel-frequency cepstral coefficients and their temporal derivatives is compared with an audio texture feature space. A five-way cross-validation is performed with different random splits of a dataset comprised of five different classes of environmental sounds. Statistical analyses revealed that the texture features performed significantly better than the MFCC-based feature space for environmental sound classification.
SecMindLab / 3D TC2This is the official implementation of 3D-TC2 (Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception)
ydk122024 / SCOPE[ICCV2023] Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
msenselab / Sets In BisectionThe ensemble context is an important determinant in time perception. The present paper reported three experiments in which we manipulated the distribution of auditory duration sets to determine factors that influence temporal-bisection performance.
