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Found 22 papers, 8 papers with code
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classification
Besides, this work has implications for how to efficiently utilize the multi-features of PolSAR data to learn better high-level representation in CL and how to construct networks suitable for PolSAR data better.
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Despite recent advances in image-to-video generation, better controllability and local animation are less explored.
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
This approach enables the creation of a semantic map of the environment and ensures reliable camera localization.
M-BEV: Masked BEV Perception for Robust Autonomous Driving
It mimics various missing cases by randomly masking features of different camera views, then leverages the original features of these views as self-supervision, and reconstructs the masked ones with the distinct spatio-temporal context across views.
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative.
MagicStick: Controllable Video Editing via Control Handle Transformations
Yet succinct, our method is the first method to show the ability of video property editing from the pre-trained text-to-image model.
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
Video Moment Retrieval (MR) and Highlight Detection (HD) have attracted significant attention due to the growing demand for video analysis.
Ranked #1 on
Highlight Detection
on YouTube Highlights
Efficient Computation of General Modules for ALC Ontologies (Extended Version)
Our evaluation indicates that our general modules are often smaller than classical modules and uniform interpolants computed by the state-of-the-art, and compared with uniform interpolants, can be computed in a significantly shorter time.
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
Generating text-editable and pose-controllable character videos have an imperious demand in creating various digital human.
SemanticAC: Semantics-Assisted Framework for Audio Classification
In this paper, we propose SemanticAC, a semantics-assisted framework for Audio Classification to better leverage the semantic information.
SimVTP: Simple Video Text Pre-training with Masked Autoencoders
This paper presents SimVTP: a Simple Video-Text Pretraining framework via masked autoencoders.
Ranked #16 on
Moment Retrieval
on Charades-STA
A Meta Path Based Evaluation Method for Enterprise Credit Risk
Nowadays small and medium-sized enterprises have become an essential part of the national economy.
Union and Intersection of all Justifications
We present new algorithm for computing the union and intersection of all justifications for a given ontological consequence without first computing the set of all justifications.
Self-semi-supervised Learning to Learn from NoisyLabeled Data
The remarkable success of today's deep neural networks highly depends on a massive number of correctly labeled data.
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification
This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking.
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering
We find open domain question answering model to be a better fit for this task rather than reading comprehension model.
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue
Dialogue embeddings are learned by a LSTM at the middle of the network, and updated by the feeding of all turn embeddings.
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.
BIOASQ Task B Phase B challenge focuses on extracting answers from snippets for a given question.
On the measure of conflicts: A MUS-Decomposition Based Framework
One particular MUS-decomposition, named distributable MUS-decomposition leads to an interesting partition of inconsistencies in a knowledge base such that multiple experts can check inconsistencies in parallel, which is impossible under existing measures.
A Distance-based Paraconsistent Semantics for DL-Lite
DL-Lite is an important family of description logics.
