Search Results for author:
Found 12 papers, 10 papers with code
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
LLMs exhibit advanced reasoning capabilities, offering the potential to transform natural language questions into mathematical models.
Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
With the advent of Large Language Models (LLMs), generating rule-based data for real-world applications has become more accessible.
Leveraging Large Language Models for Solving Rare MIP Challenges
In contrast, the model-building cost for end-to-end models, such as large language models (LLMs), remains largely unaffected by problem scale due to their pattern recognition capabilities.
SBoRA: Low-Rank Adaptation with Regional Weight Updates
This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adaptation (LoRA) and Orthogonal Adaptation.
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer.
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
It addresses three common issues in the scribble-based video colorization area: colorization vividness, temporal consistency, and color bleeding.
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.
Age-Invariant Face Recognition
Image-to-Image Translation
+3
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation
Moreover, we employ a joint optimization combining pretext tasks with contrastive learning to further enhance the spatio-temporal representation learning.
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation
Real-time semantic segmentation has received considerable attention due to growing demands in many practical applications, such as autonomous vehicles, robotics, etc.
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.
Spatial Content Alignment For Pose Transfer
Due to unreliable geometric matching and content misalignment, most conventional pose transfer algorithms fail to generate fine-trained person images.
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
It jointly predicts the colorization and saliency map to minimize semantic confusion and color bleeding in the colorized image.
