Chaoyang Zhao

10

Papers

0

Total Citations

Papers (10)

PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability

Self-Supervised Representation Learning from Arbitrary Scenarios

Adaptive Class Suppression Loss for Long-Tail Object Detection

C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection

UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training

ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection

CoupleNet: Coupling Global Structure With Local Parts for Object Detection

Large Batch Optimization for Object Detection: Training COCO in 12 Minutes

MST: Masked Self-Supervised Transformer for Visual Representation

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks