Computer Vision and Multimedia Computation articles for Tsinghua University, China

Time frame: 1 June 2025 - 30 May 2026

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Count: 22

Article ‘Count’ for Computer Vision and Multimedia Computation.

Journal Count Share
18 8.38
CSVO: Complementary-Pathway Spatial-Enhanced Visual Odometry for Extreme Environments with Brain-Inspired Vision Sensors 0.70
BookBot: A Robotic Manipulation Benchmark for Voice-Driven Book Recognition and Grasping in Cluttered Environments 1.00
Adjacent-view Transformers for Supervised Surround-view Depth Estimation 0.13
DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving 0.04
RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation 0.67
Recognizing Skeleton-Based Actions As Points 0.05
PAVLM: Advancing Point Cloud based Affordance Understanding Via Vision-Language Model 0.13
Diffusion Suction Grasping with Large-Scale Parcel Dataset 0.75
Anyview: General Indoor 3D Object Detection with Variable Frames 0.57
Rejecting Outliers in 2D-3D Point Correspondences from 2D Forward-Looking Sonar Observations 0.14
SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis 0.13
Wireless Collaborative Inference Acceleration Based on Distillation for Weed Detection and Instance Segmentation 0.08
Vision-Driven 2D Supervised Fine-Tuning Framework for Bird’s Eye View Perception 1.00
Region-Centric 6-Dof Grasp Detection: A Data-Efficient Solution for Cluttered Scenes 0.92
DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments 0.55
TCNet: A Temporally Consistent Network for Self-supervised Monocular Depth Estimation 0.25
EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving 0.82
Reusing Attention for One-stage Lane Topology Understanding 0.46
1 0.30
SynSeg: A synthetic data-driven approach for robust subcellular structure segmentation 0.30
1 0.54
Ultra-efficient physical field computing by complex-valued network quantization 0.54
1 0.65
CELLECT: contrastive embedding learning for large-scale efficient cell tracking 0.65
1 0.86
Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising 0.86

Numerical information only (in the tables above) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.