Shengcao Cao
10 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Keywords
object detection
(4)
representation learning
(3)
knowledge distillation
(2)
multimodal learning
(2)
domain adaptation
(2)
transfer learning
(2)
vision-language model
(2)
model compression
(2)
neural architecture search
(1)
multi-task learning
(1)
self-supervised learning
(1)
large multimodal model
(1)
zero-shot learning
(1)
hierarchical clustering
(1)
set prediction
(1)
reinforcement learning from human feedback
(1)
multimodal interaction
(1)
bayesian optimization
(1)
embedding space
(1)
contrastive learning
(1)
Papers
Refer to Any Segmentation Mask Group With Vision-Language Prompts
ICCV 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
ICLR 2025
Aligning Large Multimodal Models with Factually Augmented RLHF
ACL 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
ICLR 2024
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
CVPR 2024
Contrastive Mean Teacher for Domain Adaptive Object Detectors
CVPR 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
NeurIPS 2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
ICML 2023
Rethinking Transformer-Based Set Prediction for Object Detection
ICCV 2021
Learnable Embedding Space for Efficient Neural Architecture Compression
ICLR 2019