Search Results for author:
Found 16 papers, 8 papers with code
Towards Trustworthy Explanation: On Causal Rationalization
With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts to account for the major variation in prediction.
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
Inspired by the fact that depth quality is a key factor influencing the accuracy, we propose an efficient depth quality-inspired feature manipulation (DQFM) process, which can dynamically filter depth features according to depth quality.
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
Moreover, the serious voxel imbalance between the brain tumor and the background as well as the different sizes and locations of the brain tumor makes the segmentation of 3D images a challenging problem.
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection
We design an Uncertainty Mining Network (UMNet) which consists of multiple Merge-and-Split (MS) modules to recursively analyze the commonality and difference among multiple noisy labels and infer pixel-wise uncertainty map for each label.
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection
To tackle this dilemma and also inspired by the fact that depth quality is a key factor influencing the accuracy, we propose a novel depth quality-inspired feature manipulation (DQFM) process, which is efficient itself and can serve as a gating mechanism for filtering depth features to greatly boost the accuracy.
Identifying modulation formats using integrated clustering algorithm
Modulation format identification (MFI) is crucial in next-generation optical networks such as cognitive optical networks.
BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
Depth information has been proved beneficial in RGB-D salient object detection (SOD).
Ranked #2 on
RGB-D Salient Object Detection
on DES
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
We empirically demonstrate that our approach can predict the rope state accurately up to ten steps into the future and that our algorithm can find the optimal action given an initial state and a goal state.
A Effective Carrier Phase Recovery Method in Tigth Time-Packing Fast than Nyquist Optical Communication System
We propose a new scheme that combines polybinary transformaton and corrected-BPS to compensate noise for PDM-FTN-QPSK when its accelerated factor is 0. 5, which has 3. 3 dB OSNR gain when phase noise is 800 kHz.
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarity
When the network evolves from the previous snapshot to the current one, the proposed method only considers the community affiliations of partial nodes efficiently, which are either newborn nodes or some active nodes from the previous snapshot.
Siamese Keypoint Prediction Network for Visual Object Tracking
Visual object tracking aims to estimate the location of an arbitrary target in a video sequence given its initial bounding box.
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Reinforcement learning is a promising approach to learning control policies for performing complex multi-agent robotics tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
StyleRemix: An Interpretable Representation for Neural Image Style Transfer
Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style.
End-to-end Hand Mesh Recovery from a Monocular RGB Image
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.
Incident Light Frequency-based Image Defogging Algorithm
Considering the problem of color distortion caused by the defogging algorithm based on dark channel prior, an improved algorithm was proposed to calculate the transmittance of all channels respectively.
Light Source Point Cluster Selection Based Atmosphere Light Estimation
To address this problem, this paper propose a method that relies on clustering statistics to estimate atmosphere light value.
