15 citations · 16 across the 6 of their papers we have counts for
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cs.CV2026
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models
Gautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin +3
A popular route to interpretable zero-shot classification asks a large language model (LLM) to describe each class name and prompts CLIP with the resulting descriptors. We show tha…
cs.CV2025
MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
Bin Sun, Yaoguang Cao, Yan Wang +8
End-to-End autonomous driving (E2E-AD) has emerged as a new paradigm, where trajectory planning plays a crucial role. Existing studies mainly follow two directions: trajectory gene…
cs.CV2022★ 15 cited
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin, Jia Shi, Deepak Pathak +1
Continual learning (CL) is widely regarded as crucial challenge for lifelong AI. However, existing CL benchmarks, e.g. Permuted-MNIST and Split-CIFAR, make use of artificial tempor…