Search
Search Results
-
Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation
Static and moving objects often occur in real-life videos. Most video object segmentation methods only focus on extracting and exploiting motion cues...
-
Static test flakiness prediction: How Far Can We Go?
Test flakiness is a phenomenon occurring when a test case is non-deterministic and exhibits both a passing and failing behavior when run against the...
-
Prioritizing unit tests using object-oriented metrics, centrality measures, and machine learning algorithms
Nowadays, increasing complexity and size of object-oriented software systems bring new software quality assurance challenges. Unit testing is one of...
-
Multiple knowledge embedding for few-shot object detection
In the problem of few-shot object detection, class prototype knowledge in previous works is not be fully refined and utilized due to lack of...
-
A Universal Event-Based Plug-In Module for Visual Object Tracking in Degraded Conditions
Most existing trackers based on RGB/grayscale frames may collapse due to the unreliability of conventional sensors in some challenging scenarios...
-
Deep learning based object tracking in walking droplet and granular intruder experiments
We present a deep-learning based tracking objects of interest in walking droplet and granular intruder experiments. In a typical walking droplet...
-
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented...
-
Thermal Drone Images as a Predictor of Soil Moisture Values
Drones are one of the latest additions to the arsenal of technologies for precision farming. Their use is still restricted but is expected to grow as...
-
Siamese object tracking for unmanned aerial vehicle: a review and comprehensive analysis
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field...
-
LAST: An Efficient In-place Static Binary Translator for RISC Architectures
The lack of software has been a persistent issue for emerging instruction set architecture (ISA). To overcome this challenge, binary translation has...
-
SSL-MOT: self-supervised learning based multi-object tracking
Although the use of a Siamese network is the most popular approach in object tracking, it creates an undesirable trivial solution and requires a...
-
Single-Object Detection from Video Streaming
Recent advances in the discovery of face masks have made object detection a hot topic for research. In the computer vision field, the object...
-
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
Self-supervised, category-agnostic segmentation of real-world images is a challenging open problem in computer vision. Here, we show how to learn...
-
Color invariant state estimator to predict the object trajectory and catch using dexterous multi-fingered delta robot architecture
This paper proposes a design of a state estimator for tracking and predicting the object trajectory for the manipulation using a dexterous...
-
B-Human 2023 – Object and Gesture Detection
For winning a RoboCup Standard Platform League competition, a team needs to have sophisticated solutions for a number of robotics subproblems,...
-
Improving text-to-image generation with object layout guidance
The automatic generation of realistic images directly from a story text is a very challenging problem, as it cannot be addressed using a single image...
-
Towards Wait-and-Catch Routine of a Dynamic Swinging Object Using a Prototype Robotic Arm Manipulator
A robotic ball-catcher test demonstration built from a unique prototype manipulator is presented. Other than in previous work, the gripper catches a...
-
ABGS Segmenter: pixel wise adaptive background subtraction and intensity ratio based shadow removal approach for moving object detection
Background subtraction approaches are used to detect moving objects with a high recognition rate and less computation time. These methods face two...
-
PDS-Net: A novel point and depth-wise separable convolution for real-time object detection
Numerous recent object detectors and classifiers have shown acceptable performance in recent years by using convolutional neural networks and other...
-
CHORE: Contact, Human and Object Reconstruction from a Single RGB Image
Most prior works in perceiving 3D humans from images reason human in isolation without their surroundings. However, humans are constantly interacting...