136 Result(s)
within
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Pattern Recognition
**u Tao
Computer Science
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Article
Open AccessDeep Corner
Recent studies have shown promising results on joint learning of local feature detectors and descriptors. To address the lack of ground-truth keypoint supervision, previous methods mainly inject appropriate kn...
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Article
Open AccessTransformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection
Current object detectors typically have a feature pyramid (FP) module for multi-level feature fusion (MFF) which aims to mitigate the gap between features from different levels and form a comprehensive object ...
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Article
Learning Geometric Transformation for Point Cloud Completion
Point cloud completion aims to estimate the missing shape from a partial point cloud. Existing encoder-decoder based generative models usually reconstruct the complete point cloud from the learned distribution...
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Article
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Multi-scale learning frameworks have been regarded as a capable class of models to boost semantic segmentation. The problem nevertheless is not trivial especially for the real-world deployments, which often de...
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Article
Open AccessRethinking Portrait Matting with Privacy Preserving
Recently, there has been an increasing concern about the privacy issue raised by identifiable information in machine learning. However, previous portrait matting methods were all based on identifiable images. ...
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Article
Bi-calibration Networks for Weakly-Supervised Video Representation Learning
The leverage of large volumes of web videos paired with the query (short phrase for searching the video) or surrounding text (long textual description, e.g., video title) offers an economic and extensible alte...
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Article
Open AccessTrust-Region Adaptive Frequency for Online Continual Learning
In the paradigm of online continual learning, one neural network is exposed to a sequence of tasks, where the data arrive in an online fashion and previously seen data are not accessible. Such online fashion c...
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Article
Open AccessMulti-target Knowledge Distillation via Student Self-reflection
Knowledge distillation is a simple yet effective technique for deep model compression, which aims to transfer the knowledge learned by a large teacher model to a small student model. To mimic how the teacher t...
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Article
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Vision transformers have shown great potential in various computer vision tasks owing to their strong capability to model long-range dependency using the self-attention mechanism. Nevertheless, they treat an i...
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Article
Deeply Explain CNN Via Hierarchical Decomposition
In computer vision, some attribution methods for explaining CNNs attempt to study how the intermediate features affect network prediction. However, they usually ignore the feature hierarchies among the interme...
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Article
A Closer Look at Few-Shot 3D Point Cloud Classification
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes. However, it...
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Chapter and Conference Paper
DHP: A Joint Video Download and Dynamic Bitrate Adaptation Algorithm for Short Video Streaming
With the development of multimedia technology and the upgrading of mobile terminal equipment, short video platforms and applications are becoming more and more popular. Compared with traditional long video, sh...
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Chapter and Conference Paper
Self-supervised Multi-object Tracking with Cycle-Consistency
Multi-object tracking is a challenging video task that requires both locating the objects in the frames and associating the objects among the frames, which usually utilizes the tracking-by-detection paradigm. ...
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Article
Guided Hyperspectral Image Denoising with Realistic Data
The hyperspectral image (HSI) denoising has been widely utilized to improve HSI qualities. Recently, learning-based HSI denoising methods have shown their effectiveness, but most of them are based on synthetic...
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Article
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, and many efforts have been made on it with impressive results. In this paper, we intend to search an optimal network structure that can run...
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Article
Open AccessInformation-Theoretic Odometry Learning
In this paper, we propose a unified information theoretic framework for learning-motivated methods aimed at odometry estimation, a crucial component of many robotics and vision tasks such as navigation and vir...
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Article
One-Shot Object Affordance Detection in the Wild
Affordance detection refers to identifying the potential action possibilities of objects in an image, which is a crucial ability for robot perception and manipulation. To empower robots with this ability in un...
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Article
Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
Recently, learning-based multi-view stereo methods have achieved promising results. However, most of them overlook the visibility difference among different views, which leads to an indiscriminate multi-view s...
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Article
I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection
Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i.e., (1) fracture detections at the gaps in a text instance; and (2) inaccurate detections of arbitrary-shaped ...
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Article
H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning
Prostate segmentation is an important step in prostate volume estimation, multi-modal image registration, and patient-specific anatomical modeling for surgical planning and image-guided biopsy. Manual delineat...
