Optical Flow Estimation
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Latest papers without code
Efficient Semantic Video Segmentation with Per-frame Inference
In semantic segmentation, most existing real-time deep models trained with each frame independently may produce inconsistent results for a video sequence.
OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION
ScopeFlow: Dynamic Scene Scoping for Optical Flow
We propose to modify the common training protocols of optical flow, leading to sizable accuracy improvements without adding to the computational complexity of the training process.
Semantic Flow for Fast and Accurate Scene Parsing
A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.
Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms
While the satellite-based Global Positioning System (GPS) is adequate for some outdoor applications, many other applications are held back by its multi-meter positioning errors and poor indoor coverage.
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines
This paper proposes a simple yet effective method for human action recognition in video.
ACTION CLASSIFICATION OPTICAL FLOW ESTIMATION TEMPORAL ACTION LOCALIZATION
SpotNet: Self-Attention Multi-Task Network for Object Detection
We use those segmentation maps inside the network as a self-attention mechanism to weight the feature map used to produce the bounding boxes, decreasing the signal of non-relevant areas.
MULTI-TASK LEARNING OBJECT DETECTION OPTICAL FLOW ESTIMATION
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
We present a novel technique to automatically generate annotated data for important robotic perception tasks such as object segmentation and 3D object reconstruction using a robot manipulator.
3D OBJECT RECONSTRUCTION CALIBRATION OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION
Joint Encoding of Appearance and Motion Features with Self-supervision for First Person Action Recognition
Wearable cameras are becoming more and more popular in several applications, increasing the interest of the research community in developing approaches for recognizing actions from a first-person point of view.
Predictive online optimisation with applications to optical flow
To prove convergence we need a predictor for the dual variable based on (proximal) gradient flow.
Depth Map Estimation of Dynamic Scenes Using Prior Depth Information
To estimate depth in these scenarios, our algorithm models the dynamic scene motion using independent and rigid motions.