most citedFSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

29 citations · 49 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV202129 cited

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

Bo Sun, Banghuai Li, Shengcai Cai +2

Emerging interests have been brought to recognize previously unseen objects given very few training examples, known as few-shot object detection (FSOD). Recent researches demonstra…

cs.DS20212 cited

Online Network Utility Maximization: Algorithm, Competitive Analysis, and Applications

Ying Cao, Bo Sun, Danny H. K. Tsang

We consider an online version of the well-studied network utility maximization problem, where users arrive one by one and an operator makes irrevocable decisions for each user with…

cs.DS2020

Data-driven Competitive Algorithms for Online Knapsack and Set Cover

Ali Zeynali, Bo Sun, Mohammad Hajiesmaili +1

The design of online algorithms has tended to focus on algorithms with worst-case guarantees, e.g., bounds on the competitive ratio. However, it is well-known that such algorithms…

cs.CV202017 cited

H3DNet: 3D Object Detection Using Hybrid Geometric Primitives

Zaiwei Zhang, Bo Sun, Haitao Yang +1

We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection of oriented object bounding boxes (or BB) and their semantic labels. The critical idea…

cs.NI20201 cited

Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning Approach

Ying Cao, Bo Sun, Danny H. K. Tsang

We consider a transmitter with mmWave/sub6 dual interfaces. Due to the intermittency of mmWave channel, the transmitter must schedule packets wisely across the interfaces to minimi…

cs.DS2020

Optimal Online Algorithms for One-Way Trading and Online Knapsack Problems: A Unified Competitive Analysis

Ying Cao, Bo Sun, Danny H. K. Tsang

We study two canonical online optimization problems under capacity/budget constraints: the fractional one-way trading problem (OTP) and the integral online knapsack problem (OKP) u…