Search Results for author:
Found 14 papers, 5 papers with code
See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image
Humans can not only recognize and understand the world in its current state but also envision future scenarios that extend beyond immediate perception.
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
In addition, for patches without outlier values, we utilize value-driven quantization search (VDQS) on the feature maps of their following dataflow branches to reduce search time.
DynPoint: Dynamic Neural Point For View Synthesis
The introduction of neural radiance fields has greatly improved the effectiveness of view synthesis for monocular videos.
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning
This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes.
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes.
PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and typos for multiple languages.
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Our experiments on manipulating complex articulated objects show that the proposed approach is more generalizable to unseen objects with large intra-class variations, outperforming previous approaches.
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object stably.
Design and control analysis of a deployable clustered hyperbolic paraboloid cable net
This paper presents an analytical and experimental design and deployment control analysis of a hyperbolic paraboloid cable net based on clustering actuation strategies.
Tree-based Search Graph for Approximate Nearest Neighbor Search
Research by Fu et al. shows that the algorithms based on Monotonic Search Network (MSNET), such as NSG and NSSG, have achieved the state-of-the-art search performance in efficiency.
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph
Graph data, in most cases, has two views of information, namely structure information and feature information.
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study
For making the classifications reasonable, the visualization of CNN representations is furthermore used to identify cells between melanoma and nevi.
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Based on this observation, we propose a defense approach which inspects the graph and recovers the potential adversarial perturbations.
Interpreting Shared Deep Learning Models via Explicable Boundary Trees
In this paper, we propose a method to disclose a small set of training data that is just sufficient for users to get the insight of a complicated model.
