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Found 9 papers, 3 papers with code
Bridging 3D Gaussian and Mesh for Freeview Video Rendering
To this end, we propose a novel approach, GauMesh, to bridge the 3D Gaussian and Mesh for modeling and rendering the dynamic scenes.
Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models
This paper presents a novel approach to generating the 3D motion of a human interacting with a target object, with a focus on solving the challenge of synthesizing long-range and diverse motions, which could not be fulfilled by existing auto-regressive models or path planning-based methods.
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Specifically, MHCPL timely chooses useful social information according to the interactive history and builds a dynamic hypergraph with three types of multiplex relations from different views.
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
Conversational recommendation systems (CRS) aim to timely and proactively acquire user dynamic preferred attributes through conversations for item recommendation.
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Focusing on more effective and comprehensive anomaly detection, we propose a network based on self-supervised learning and self-attentive graph convolution (SLSG) for anomaly detection.
Ranked #3 on
Anomaly Detection
on MVTec LOCO AD
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
By comparing the similarities and differences between input samples and memory samples in the memory pool to give effective guesses about abnormal regions; In the inference phase, MemSeg directly determines the abnormal regions of the input image in an end-to-end manner.
Ranked #14 on
Anomaly Detection
on MVTec AD
AdaCoach: A Virtual Coach for Training Customer Service Agents
With the development of online business, customer service agents gradually play a crucial role as an interface between the companies and their customers.
Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue
Context modeling plays a significant role in building multi-turn dialogue systems.
A Dialogue-based Information Extraction System for Medical Insurance Assessment
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.
