Co-occurring keywords · papers mentioning both
Papers
Localizing Visual Sounds the Hard Way
CVPR 2021
MONAH: Multi-Modal Narratives for Humans to analyze conversations
EACL 2021
Multi-Shot Temporal Event Localization: A Benchmark
CVPR 2021
Repetitive Activity Counting by Sight and Sound
CVPR 2021
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data
CVPR 2021
SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification
AAAI 2021
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
AAAI 2021
Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations
EMNLP 2021
Towards Unified Surgical Skill Assessment
CVPR 2021
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics
ICCV 2021
Unsupervised Discovery of 3D Physical Objects from Video
ICLR 2021
Visual Semantic Role Labeling for Video Understanding
CVPR 2021
Weakly Supervised Construction of ASR Systems from Massive Video Data
Interspeech 2021
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
ACL 2020
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract)
AAAI 2020
Attention Flow: End-to-End Joint Attention Estimation
WACV 2020
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction
CVPR 2020
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
CVPR 2020
Detecting Attended Visual Targets in Video
CVPR 2020
Ego-Topo: Environment Affordances From Egocentric Video
CVPR 2020
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
AAAI 2020
Learning Memory-Guided Normality for Anomaly Detection
CVPR 2020
Learning to Segment Actions from Observation and Narration
ACL 2020
Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback
ACL 2020
Representing Objects in Video as Space-Time Volumes by Combining Top-Down and Bottom-Up Processes
WACV 2020